Jan Peters | Academic Influence

Jan Peters 's AcademicInfluence.com Rankings

Jan Peters

Computer Science

#1295

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#1338

Historical Rank

Machine Learning

#160

World Rank

#161

Historical Rank

Artificial Intelligence

#187

World Rank

#191

Historical Rank

Database

#767

World Rank

#804

Historical Rank

computer-science Degrees

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Computer Science

Jan Peters 's Degrees

PhD Computer Science University of Southern California
Masters Computer Science University of Southern California
Bachelors Computer Science University of Southern California

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Why Is Jan Peters Influential?

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According to Wikipedia, Jan Peters is a German computer scientist. He is Professor of Intelligent Autonomous Systems at Department of Computer Science of the Technische Universität Darmstadt. Peters is renowned for his research in machine learning and robotics.

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Jan Peters 's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Reinforcement learning in robotics: A survey (2013) (2540)
Natural Actor-Critic (2003) (1087)
Reinforcement learning of motor skills with policy gradients (2008) (883)
A Survey on Policy Search for Robotics (2013) (875)
Episodic Future Thinking Reduces Reward Delay Discounting through an Enhancement of Prefrontal-Mediotemporal Interactions (2010) (740)
Policy search for motor primitives in robotics (2008) (716)
Natural Evolution Strategies (2008) (716)
Relative Entropy Policy Search (2010) (615)
Policy Gradient Methods for Robotics (2006) (566)
The neural mechanisms of inter-temporal decision-making: understanding variability (2011) (565)
An Algorithmic Perspective on Imitation Learning (2018) (514)
Model learning for robot control: a survey (2011) (463)
Probabilistic Movement Primitives (2013) (457)
Learning Movement Primitives (2005) (411)
Learning to select and generalize striking movements in robot table tennis (2012) (407)
Reinforcement Learning for Humanoid Robotics (2003) (385)
Operational Space Control: A Theoretical and Empirical Comparison (2008) (358)
Relative Entropy Inverse Reinforcement Learning (2011) (321)
Model Learning with Local Gaussian Process Regression (2009) (284)
Bayesian optimization for learning gaits under uncertainty (2016) (249)
Local Gaussian Process Regression for Real Time Online Model Learning (2008) (244)
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning (2019) (243)
Parameter-exploring policy gradients (2010) (240)
Learning motor primitives for robotics (2009) (238)
SN 1991bg - A type Ia supernova with a difference (1993) (231)
Hierarchical Relative Entropy Policy Search (2014) (222)
Gaussian process dynamic programming (2009) (213)
Manifold Gaussian Processes for regression (2014) (213)
Reinforcement Learning to Adjust Robot Movements to New Situations (2010) (204)
Policy evaluation with temporal differences: a survey and comparison (2015) (204)
Reinforcement learning by reward-weighted regression for operational space control (2007) (203)
Interaction primitives for human-robot cooperation tasks (2014) (202)
Reinforcement learning to adjust parametrized motor primitives to new situations (2012) (185)
Learning to Control in Operational Space (2008) (184)
Using model knowledge for learning inverse dynamics (2010) (171)
Closing the sensorimotor loop: haptic feedback facilitates decoding of motor imagery (2011) (170)
Movement templates for learning of hitting and batting (2010) (169)
Combining active learning and reactive control for robot grasping (2010) (165)
Mobile monitoring for mapping spatial variation in urban air quality: Development and validation of a methodology based on an extensive dataset (2015) (164)
Solving Deep Memory POMDPs with Recurrent Policy Gradients (2007) (161)
Probabilistic movement modeling for intention inference in human–robot interaction (2013) (158)
Probabilistic movement primitives for coordination of multiple human–robot collaborative tasks (2017) (156)
Computed torque control with nonparametric regression models (2008) (152)
Computational Intelligence: Principles, Techniques and Applications (2007) (144)
Using probabilistic movement primitives in robotics (2018) (143)
A unifying framework for robot control with redundant DOFs (2007) (141)
Stable reinforcement learning with autoencoders for tactile and visual data (2016) (139)
Learning robot in-hand manipulation with tactile features (2015) (138)
Local Gaussian process regression for real-time model-based robot control (2008) (138)
Imitation and Reinforcement Learning (2010) (125)
Data-Efficient Generalization of Robot Skills with Contextual Policy Search (2013) (124)
From Motor Learning to Interaction Learning in Robots (2010) (119)
Towards learning hierarchical skills for multi-phase manipulation tasks (2015) (114)
A biomimetic approach to robot table tennis (2010) (114)
Multi-task policy search for robotics (2014) (113)
Trajectory planning for optimal robot catching in real-time (2011) (112)
Learning Dynamic Tactile Sensing With Robust Vision-Based Training (2011) (108)
Active Reward Learning (2014) (102)
Recurrent policy gradients (2010) (101)
Probabilistic inference for determining options in reinforcement learning (2016) (100)
Learning multiple collaborative tasks with a mixture of Interaction Primitives (2015) (100)
Generalization of human grasping for multi-fingered robot hands (2012) (99)
Learning table tennis with a Mixture of Motor Primitives (2010) (98)
Evaluation of Policy Gradient Methods and Variants on the Cart-Pole Benchmark (2007) (94)
Policy gradient methods (2010) (94)
Control, Planning, Learning, and Imitation with Dynamic Movement Primitives (2003) (93)
Learning grasp affordance densities (2011) (93)
Learning Inverse Dynamics: a Comparison (2008) (92)
Reward-based decision making in pathological gambling: The roles of risk and delay (2015) (92)
Learning object-specific grasp affordance densities (2009) (90)
Learning interaction for collaborative tasks with probabilistic movement primitives (2014) (90)
Learning perceptual coupling for motor primitives (2008) (90)
A kernel-based approach to direct action perception (2012) (88)
Stabilizing novel objects by learning to predict tactile slip (2015) (88)
Towards Engagement Models that Consider Individual Factors in HRI: On the Relation of Extroversion and Negative Attitude Towards Robots to Gaze and Speech During a Human–Robot Assembly Task (2015) (83)
Comparative experiments on task space control with redundancy resolution (2005) (82)
Cyclist exposure to UFP and BC on urban routes in Antwerp, Belgium (2014) (81)
Probabilistic Segmentation and Targeted Exploration of Objects in Cluttered Environments (2014) (74)
Model-based contextual policy search for data-efficient generalization of robot skills (2017) (74)
An experimental comparison of Bayesian optimization for bipedal locomotion (2014) (73)
Model-Based Relative Entropy Stochastic Search (2016) (72)
Bayesian Gait Optimization for Bipedal Locomotion (2014) (71)
Towards brain-robot interfaces in stroke rehabilitation (2011) (71)
Sharing Knowledge in Multi-Task Deep Reinforcement Learning (2020) (71)
Policy Gradients with Parameter-Based Exploration for Control (2008) (70)
Phase estimation for fast action recognition and trajectory generation in human–robot collaboration (2017) (69)
Machine Learning for motor skills in robotics (2008) (69)
Active tactile object exploration with Gaussian processes (2016) (68)
Learning robot tactile sensing for object manipulation (2014) (68)
Europe's Covid-19 outliers: German, Austrian and Swiss policy responses during the early stages of the 2020 pandemic (2020) (66)
Alignment-based transfer learning for robot models (2013) (65)
Tools for simulating humanoid robot dynamics: A survey based on user feedback (2014) (64)
A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics (2006) (64)
Incremental online sparsification for model learning in real-time robot control (2011) (62)
Movement extraction by detecting dynamics switches and repetitions (2010) (61)
Learning Motor Skills - From Algorithms to Robot Experiments (2013) (61)
Fitted Q-iteration by Advantage Weighted Regression (2008) (61)
Evaluation of tactile feature extraction for interactive object recognition (2015) (59)
Opportunistic mobile air pollution monitoring: A case study with city wardens in Antwerp (2016) (56)
Learning inverse dynamics models with contacts (2015) (56)
Learning movement primitive attractor goals and sequential skills from kinesthetic demonstrations (2015) (55)
Learning strategies in table tennis using inverse reinforcement learning (2014) (55)
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos (2019) (54)
Grip Stabilization of Novel Objects Using Slip Prediction (2018) (54)
Recurrent Spiking Networks Solve Planning Tasks (2016) (54)
Approximate dynamic programming with Gaussian processes (2008) (53)
Learning Robot Dynamics for Computed Torque Control Using Local Gaussian Processes Regression (2008) (53)
Bioinspired tactile sensor for surface roughness discrimination (2017) (53)
Active reward learning with a novel acquisition function (2015) (52)
Probabilistic Modeling of Human Movements for Intention Inference (2012) (52)
Learning movement primitive libraries through probabilistic segmentation (2017) (51)
Formal Comparison of Dual-Parameter Temporal Discounting Models in Controls and Pathological Gamblers (2012) (50)
Model-based imitation learning by probabilistic trajectory matching (2013) (49)
Learning inverse kinematics with structured prediction (2011) (49)
Learning sequential motor tasks (2013) (49)
Learning inverse dynamics models in O(n) time with LSTM networks (2017) (48)
The Power of Nature‐Based Solutions: How Peatlands Can Help Us to Achieve Key EU Sustainability Objectives (2020) (48)
Learning to sequence movement primitives from demonstrations (2014) (47)
Learning complex motions by sequencing simpler motion templates (2009) (47)
Adaptive importance sampling for value function approximation in off-policy reinforcement learning (2009) (47)
Learning to predict phases of manipulation tasks as hidden states (2014) (46)
Probabilistic model-based imitation learning (2013) (46)
Learning robot grasping from 3-D images with Markov Random Fields (2011) (45)
Online optimal trajectory generation for robot table tennis (2018) (45)
Learning concurrent motor skills in versatile solution spaces (2012) (45)
Adaptation and Robust Learning of Probabilistic Movement Primitives (2018) (45)
MushroomRL: Simplifying Reinforcement Learning Research (2020) (44)
Maximally informative interaction learning for scene exploration (2012) (44)
Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems (2019) (44)
Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components (2012) (44)
Extracting low-dimensional control variables for movement primitives (2015) (44)
A unifying methodology for the control of robotic systems (2005) (42)
Robot Learning (2019) (42)
Active Incremental Learning of Robot Movement Primitives (2017) (42)
Policy Search for Path Integral Control (2014) (41)
Learning visual representations for perception-action systems (2011) (41)
A learning-based shared control architecture for interactive task execution (2017) (40)
Guiding Trajectory Optimization by Demonstrated Distributions (2017) (40)
Towards Robot Skill Learning: From Simple Skills to Table Tennis (2013) (40)
Learning responsive robot behavior by imitation (2013) (39)
Switched Latent Force Models for Movement Segmentation (2010) (38)
Probabilistic segmentation applied to an assembly task (2015) (38)
Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment (2018) (38)
Demonstration based trajectory optimization for generalizable robot motions (2016) (38)
Real-Time Local GP Model Learning (2010) (37)
Towards Motor Skill Learning for Robotics (2007) (37)
Switching Linear Dynamics for Variational Bayes Filtering (2019) (37)
Assessing Transferability From Simulation to Reality for Reinforcement Learning (2019) (36)
Learning to Play Table Tennis From Scratch Using Muscular Robots (2020) (35)
Reinforcement Learning for Robotics (2008) (35)
Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot (2014) (35)
Learning soft task priorities for control of redundant robots (2016) (35)
Active learning using mean shift optimization for robot grasping (2009) (35)
Stability of Controllers for Gaussian Process Forward Models (2016) (34)
Dimensionality reduction for probabilistic movement primitives (2014) (34)
Learning of Non-Parametric Control Policies with High-Dimensional State Features (2015) (34)
A lightweight robotic arm with pneumatic muscles for robot learning (2016) (34)
Biomimetic tactile sensors and signal processing with spike trains: A review (2018) (33)
Generalizing pouring actions between objects using warped parameters (2014) (33)
An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward (2009) (33)
Toward fast policy search for learning legged locomotion (2012) (33)
Self-Paced Contextual Reinforcement Learning (2019) (32)
Sparse online model learning for robot control with support vector regression (2009) (31)
Anticipatory action selection for human-robot table tennis (2017) (31)
Manifold-based multi-objective policy search with sample reuse (2017) (31)
Reinforcement Learning for Parameterized Motor Primitives (2006) (30)
Closing the sensorimotor loop: Haptic feedback facilitates decoding of arm movement imagery (2010) (30)
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning (2021) (30)
Point cloud completion using extrusions (2012) (29)
Learning Continuous Grasp Affordances by Sensorimotor Exploration (2010) (29)
A low-cost sensor glove with vibrotactile feedback and multiple finger joint and hand motion sensing for human-robot interaction (2016) (29)
Reinforcement Learning for Operational Space Control (2007) (29)
Jointly learning trajectory generation and hitting point prediction in robot table tennis (2016) (29)
Learning modular policies for robotics (2014) (28)
Applying the Episodic Natural Actor-Critic Architecture to Motor Primitive Learning (2007) (28)
Sim2Real in Robotics and Automation: Applications and Challenges (2021) (28)
First-person tele-operation of a humanoid robot (2015) (28)
Data-Efficient Domain Randomization With Bayesian Optimization (2020) (28)
Catching heuristics are optimal control policies (2016) (28)
Perspectives on Sim2Real Transfer for Robotics: A Summary of the R: SS 2020 Workshop (2020) (28)
Stability of Controllers for Gaussian Process Dynamics (2017) (28)
Fitness Expectation Maximization (2008) (27)
ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows (2020) (27)
Grip Stabilization through Independent Finger Tactile Feedback Control (2020) (26)
Structured Apprenticeship Learning (2012) (26)
Non-parametric Policy Search with Limited Information Loss (2017) (26)
Using Bayesian Dynamical Systems for Motion Template Libraries (2008) (26)
Latent space policy search for robotics (2014) (25)
Prediction of Intention during Interaction with iCub with Probabilistic Movement Primitives (2017) (25)
Incremental Sparsification for Real-time Online Model Learning (2010) (25)
Online Kernel-Based Learning for Task-Space Tracking Robot Control (2012) (25)
Predicting motor learning performance from Electroencephalographic data (2014) (25)
Model-Free Trajectory-based Policy Optimization with Monotonic Improvement (2016) (25)
Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation (2021) (25)
Learning motor skills from partially observed movements executed at different speeds (2015) (25)
Pareto Front Modeling for Sensitivity Analysis in Multi-Objective Bayesian Optimization (2014) (24)
Imitation and Reinforcement Learning: Practical Algorithms for Motor Primitives in Robotics (2010) (24)
Policy Search for Motor Primitives (2009) (24)
Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning (2021) (24)
A Unifying Methodology for Robot Control with Redundant DOFs (2008) (23)
Model-Based Reinforcement Learning with Continuous States and Actions (2008) (23)
Sample-based informationl-theoretic stochastic optimal control (2014) (23)
Learning to Fly via Deep Model-Based Reinforcement Learning (2020) (23)
Learning optimal striking points for a ping-pong playing robot (2015) (23)
Hierarchical reinforcement learning of multiple grasping strategies with human instructions (2018) (23)
Self-Paced Deep Reinforcement Learning (2020) (23)
Learning Operational Space Control (2006) (22)
Acquiring and Generalizing the Embodiment Mapping From Human Observations to Robot Skills (2016) (22)
Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning (2010) (22)
Learning probabilistic discriminative models of grasp affordances under limited supervision (2010) (21)
A brain-robot interface for studying motor learning after stroke (2012) (21)
Probabilistic Prioritization of Movement Primitives (2017) (21)
Model Learning in Robotics: a Survey (2011) (21)
Using probabilistic movement primitives for striking movements (2016) (21)
Simulating Human Table Tennis with a Biomimetic Robot Setup (2010) (21)
TD-regularized actor-critic methods (2018) (21)
Policy Learning for Motor Skills (2007) (21)
Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction (2019) (21)
Reward-Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning (2011) (20)
Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning (2020) (20)
Predicting object interactions from contact distributions (2014) (20)
A probabilistic approach to robot trajectory generation (2013) (20)
Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences (2018) (19)
Balancing Safety and Exploitability in Opponent Modeling (2011) (19)
Reliable Real Time Ball Tracking for Robot Table Tennis (2019) (19)
Entropic Risk Measure in Policy Search (2019) (19)
Robot Reinforcement Learning on the Constraint Manifold (2021) (19)
Whole-body multi-contact motion in humans and humanoids: Advances of the CoDyCo European project (2017) (19)
A Non-Parametric Approach to Dynamic Programming (2011) (19)
Experiments with Hierarchical Reinforcement Learning of Multiple Grasping Policies (2016) (19)
Learning anticipation policies for robot table tennis (2011) (19)
Policy search for learning robot control using sparse data (2014) (18)
Using Reward-weighted Regression for Reinforcement Learning of Task Space Control (2007) (18)
Incremental imitation learning of context-dependent motor skills (2016) (18)
Active Structured Learning for High-Speed Object Detection (2009) (18)
In-Hand Object Stabilization by Independent Finger Control (2018) (18)
Model-free Probabilistic Movement Primitives for physical interaction (2015) (17)
How Cognitive Models of Human Body Experience Might Push Robotics (2019) (17)
Towards net zero CO2 in 2050: an emission reduction pathway for organic soils in Germany (2021) (17)
Model-Based Quality-Diversity Search for Efficient Robot Learning (2020) (17)
Epidural ECoG Online Decoding of Arm Movement Intention in Hemiparesis (2010) (17)
Layered direct policy search for learning hierarchical skills (2017) (17)
Efficient Sample Reuse in EM-Based Policy Search (2009) (17)
Finding the way forward: COVID-19 vaccination progress in Germany, Austria and Switzerland (2021) (16)
Learning elementary movements jointly with a higher level task (2011) (16)
Policy Gradient Methods for Robot Control (2003) (16)
Stochastic Optimal Control as Approximate Input Inference (2019) (16)
Compatible natural gradient policy search (2019) (16)
Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks (2018) (16)
Combined pose-wrench and state machine representation for modeling Robotic Assembly Skills (2015) (16)
Online Learning of an Open-Ended Skill Library for Collaborative Tasks (2018) (16)
Local Bayesian Optimization of Motor Skills (2017) (16)
Real Time Trajectory Prediction Using Deep Conditional Generative Models (2019) (15)
Bayesian Online Prediction of Change Points (2019) (15)
Robot Learning From Randomized Simulations: A Review (2021) (15)
Bayesian Optimization for Learning Gaits under Uncertainty An experimental comparison on a dynamic bipedal walker (2015) (15)
A Probabilistic Framework for Semi-autonomous Robots Based on Interaction Primitives with Phase Estimation (2015) (15)
Probabilistic movement primitives under unknown system dynamics (2018) (15)
Reinforcement learning vs human programming in tetherball robot games (2015) (15)
Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling (2010) (15)
Assisting Movement Training and Execution With Visual and Haptic Feedback (2018) (15)
Learning Trajectory Distributions for Assisted Teleoperation and Path Planning (2019) (14)
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning (2021) (14)
f-Divergence constrained policy improvement (2017) (14)
Mixture of Attractors: A Novel Movement Primitive Representation for Learning Motor Skills From Demonstrations (2018) (14)
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards (2020) (14)
HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints (2019) (14)
Solving Nonlinear Continuous State-Action-Observation POMDPs for Mechanical Systems with Gaussian Noise (2012) (13)
Hybrid control trajectory optimization under uncertainty (2017) (13)
Optimizing the Execution of Dynamic Robot Movements With Learning Control (2019) (13)
Plucking Motions for Tea Harvesting Robots Using Probabilistic Movement Primitives (2020) (13)
Goal-driven dimensionality reduction for reinforcement learning (2017) (13)
A Computational Model of Human Table Tennis for Robot Application (2009) (13)
Robust Value Iteration for Continuous Control Tasks (2021) (13)
Learning torque control in presence of contacts using tactile sensing from robot skin (2015) (13)
Generalized exploration in policy search (2017) (13)
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation (2007) (13)
Anticipative Interaction Primitives for Human-Robot Collaboration (2016) (13)
Control of Musculoskeletal Systems Using Learned Dynamics Models (2018) (13)
Extended Tree Search for Robot Task and Motion Planning (2021) (12)
Regularizing Reinforcement Learning with State Abstraction (2018) (12)
Imitation and Reinforcement Learning â Practical Algorithms for Motor Primitive Learning in Robotics (2010) (12)
Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization (2020) (12)
SKID RAW: Skill Discovery From Raw Trajectories (2021) (12)
Extended Task and Motion Planning of Long-horizon Robot Manipulation (2021) (12)
A kernel-based approach to learning contact distributions for robot manipulation tasks (2018) (12)
Manifold‐valued Thin‐Plate Splines with Applications in Computer Graphics (2008) (12)
Learning Intention Aware Online Adaptation of Movement Primitives (2019) (12)
Special issue on autonomous grasping and manipulation (2014) (12)
Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control (2016) (11)
A Unifying Framework for the Control of Robotic Systems (2005) (11)
Learning Visual Representations for Interactive Systems (2009) (11)
Learning throwing and catching skills (2012) (11)
A Nonparametric Off-Policy Policy Gradient (2020) (11)
Active Inference or Control as Inference? A Unifying View (2020) (11)
Contextual Policy Search for Generalizing a Parameterized Biped Walking Controller (2015) (10)
Integrating contrastive learning with dynamic models for reinforcement learning from images (2022) (10)
Learning tracking control with forward models (2012) (10)
Designing inclusion into engineering education : A fresh, practical look at how diversity impacts on engineering and strategies for change (2018) (10)
Receding Horizon Curiosity (2019) (10)
Generalized Classication-bas ed Approximate Policy Iteration (2012) (10)
Reinforcement learning of motor skills using Policy Search and human corrective advice (2019) (10)
Towards Machine Learning of Motor Skills (2007) (10)
Entropic Regularization of Markov Decision Processes (2019) (10)
Numerical Quadrature for Probabilistic Policy Search (2020) (10)
Learning to Serve: An Experimental Study for a New Learning From Demonstrations Framework (2018) (10)
Whole-body Motion in Humans and Humanoids (2014) (10)
Probabilistic decomposition of sequential force interaction tasks into Movement Primitives (2016) (10)
Deep spiking networks for model-based planning in humanoids (2016) (10)
PAC-Bayesian Analysis of Martingales and Multiarmed Bandits (2011) (10)
Probabilistic interactive segmentation for anthropomorphic robots in cluttered environments (2013) (10)
Episodic Reinforcement Learning by Logistic Reward-Weighted Regression (2008) (10)
Grasping with Vision Descriptors and Motor Primitives (2010) (9)
Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk (2021) (9)
Reinforcement Learning for Humanoid Robots - Policy Gradients and Beyond (2004) (9)
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning (2021) (9)
Experience Reuse with Probabilistic Movement Primitives (2019) (9)
Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement (2020) (9)
Robot Skill Learning (2012) (9)
A Differentiable Newton Euler Algorithm for Multi-body Model Learning (2020) (9)
Value Iteration in Continuous Actions, States and Time (2021) (9)
Policy Search with High-Dimensional Context Variables (2016) (9)
Assessment and Spatial Planning for Peatland Conservation and Restoration: Europe’s Trans-Border Neman River Basin as a Case Study (2021) (9)
Probabilistic progress prediction and sequencing of concurrent movement primitives (2015) (9)
Gambling environment exposure increases temporal discounting but improves model-based control in regular slot-machine gamblers (2021) (9)
Bayesian Domain Randomization for Sim-to-Real Transfer (2020) (9)
An Experimental Evaluation of Bayesian Optimization on Bipedal Locomotion (2014) (8)
Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations (2015) (8)
Assisted teleoperation in changing environments with a mixture of virtual guides (2020) (8)
Searching a Scalable Approach to Cerebellar Based Control (2002) (8)
Hierarchical Tactile-Based Control Decomposition of Dexterous In-Hand Manipulation Tasks (2020) (8)
Contextual Policy Search for Linear and Nonlinear Generalization of a Humanoid Walking Controller (2016) (8)
Using reward-weighted imitation for robot Reinforcement Learning (2009) (8)
Policy Learning - A Unified Perspective with Applications in Robotics (2008) (8)
Projections for Approximate Policy Iteration Algorithms (2019) (8)
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling (2018) (8)
SE(3)-DiffusionFields: Learning cost functions for joint grasp and motion optimization through diffusion (2022) (8)
Robust policy updates for stochastic optimal control (2014) (8)
A flexible hybrid framework for modeling complex manipulation tasks (2011) (8)
Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots (2019) (8)
Human-Robot Handshaking: A Review (2021) (8)
Deep Reinforcement Learning with Weighted Q-Learning (2020) (7)
A Robot Cluster for Reproducible Research in Dexterous Manipulation (2021) (7)
Reinforcement Learning of Trajectory Distributions: Applications in Assisted Teleoperation and Motion Planning (2019) (7)
Learning attribute grammars for movement primitive sequencing (2020) (7)
Real-time learning of resolved velocity control on a Mitsubishi PA-10 (2008) (7)
Omnidirectional Walking with a Compliant Inverted Pendulum Model (2014) (7)
Experimental Evaluation of Task Space Position/Orientation Control Towards Compliant Control for Humanoid Robots (2007) (7)
Building a Library of Tactile Skills Based on FingerVision (2019) (7)
Utilizing Human Feedback in POMDP Execution and Specification (2018) (7)
Regularized Deep Signed Distance Fields for Reactive Motion Generation (2022) (7)
Feedback error learning for rhythmic motor primitives (2013) (7)
Latent Derivative Bayesian Last Layer Networks (2021) (7)
Convex Regularization in Monte-Carlo Tree Search (2020) (7)
Model-based Lookahead Reinforcement Learning (2019) (7)
The Inclusive Professional Framework for Societies: Changing Mental Models to Promote Diverse, Equitable, and Inclusive STEM Systems Change (2022) (7)
Learning Sequential Force Interaction Skills (2020) (7)
Was ist eine Professur fuer Kuenstliche Intelligenz? (2019) (7)
Information-Theoretic Motor Skill Learning (2013) (7)
Multi-task logistic regression in brain-computer interfaces (2016) (7)
Learning task-space tracking control with kernels (2011) (6)
Multi-Channel Interactive Reinforcement Learning for Sequential Tasks. (2020) (6)
State-Regularized Policy Search for Linearized Dynamical Systems (2017) (6)
Efficient and Reactive Planning for High Speed Robot Air Hockey (2021) (6)
Learning Prioritized Control of Motor Primitives (2012) (6)
Information Gathering in Decentralized POMDPs by Policy Graph Improvement (2019) (6)
A Probabilistic Framework for Imitating Human Race Driver Behavior (2020) (6)
Active exploration for robot parameter selection in episodic reinforcement learning (2011) (6)
Evaluation of the Handshake Turing Test for anthropomorphic Robots (2020) (6)
Probabilistic Modeling of Human Dynamics for Intention Inference (2012) (6)
Differentiable Implicit Layers (2020) (6)
Movement primitives with multiple phase parameters (2016) (6)
An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients (2021) (6)
Towards compliant humanoids-an experimental assessment of suitable task space position/orientation controllers (2007) (5)
Context-driven movement primitive adaptation (2017) (5)
Experiments with Motor Primitives in Table Tennis (2010) (5)
Machine Learning for Robotics: Learning Methods for Robot Motor Skills (2013) (5)
Practical Learning Algorithms for Motor Primitives in Robotics (2010) (5)
Modeling Spatio-Temporal Variability in Human-Robot Interaction with Probabilistic Movement Primitives (2015) (5)
Inducing Probabilistic Context-Free Grammars for the Sequencing of Movement Primitives (2018) (5)
Learning New Basic Movements for Robotics (2009) (5)
A comparison of contact distribution representations for learning to predict object interactions (2015) (5)
Reinforcement learning for optimal control of arm movements (2007) (5)
Orientation Attentive Robot Grasp Synthesis (2020) (5)
BIMROB – Bidirectional Interaction Between Human and Robot for the Learning of Movements (2017) (5)
A new trajectory generation framework in robotic table tennis (2016) (5)
Advances in Human-Robot Handshaking (2020) (5)
Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills (2020) (5)
Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics (2019) (5)
Autonomous reinforcement learning with hierarchical REPS (2013) (5)
Learning Human-like Hand Reaching for Human-Robot Handshaking (2021) (5)
Robust Motion Prediction of a Free-Tumbling Satellite with On-Ground Experimental Validation (2021) (5)
Bayesian Online Detection and Prediction of Change Points (2019) (5)
Developing biorobotics for veterinary research into cat movements (2015) (4)
Scaling Reinforcement Learning Paradigms for Motor Learning (2003) (4)
Incremental Learning of an Open-Ended Collaborative Skill Library (2020) (4)
Directed Acyclic Graph Neural Network for Human Motion Prediction (2021) (4)
Scientific Societies Integrating Gender and Ethnoracial Diversity Efforts: A First Meeting Report from Amplifying the Alliance to Catalyze Change for Equity in STEM Success (ACCESS+) (2022) (4)
Optimizing robot striking movement primitives with Iterative Learning Control (2015) (4)
Addressing the Correspondence Problem by Model-based Imitation Learning (2013) (4)
A Local Energy Market Benefiting Power Grids and Energy Users: A P2P Trading-based Case Study (2022) (4)
Robot Learning of Mobile Manipulation With Reachability Behavior Priors (2022) (4)
Generalized Multiple Correlation Coefficient as a Similarity Measurement between Trajectories (2019) (4)
An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions (2020) (4)
Investigating Music imagery as a Cognitive Paradigm for low-Cost brain-Computer Interfaces (2017) (4)
Learning to Categorize Bug Reports with LSTM Networks (2018) (4)
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models (2021) (4)
Indirect robot model learning for tracking control (2014) (4)
Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals (2017) (4)
A Differentiable Newton-Euler Algorithm for Real-World Robotics (2021) (4)
Continuous Action Reinforcement Learning From a Mixture of Interpretable Experts (2020) (4)
Reinforcement Learning for Heroes of Newerth Verstärkendes Lernen in Heroes of Newerth (2015) (4)
A New Methodology for Robot Controller Design (2005) (4)
Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning (2019) (4)
Learning Probabilistic Features from EMG Data for Predicting Knee Abnormalities (2016) (4)
Accelerating Integrated Task and Motion Planning with Neural Feasibility Checking (2022) (4)
Empowered skills (2017) (4)
SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion (2022) (4)
Learning Replanning Policies With Direct Policy Search (2019) (4)
Reward Weighted Regression with Sample Reuse (2011) (4)
A comparison of distance measures for learning nonparametric motor skill libraries (2017) (3)
Exploration and Curiosity in Robot Learning and Inference (Dagstuhl Seminar 11131) (2011) (3)
Probabilistic Approach to Physical Object Disentangling (2020) (3)
Stochastic Control through Approximate Bayesian Input Inference (2021) (3)
ArmSym: A Virtual Human–Robot Interaction Laboratory for Assistive Robotics (2021) (3)
Learning Motor Primitives with Reinforcement Learning (2004) (3)
Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative-Entropy Trust Regions (2021) (3)
Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer (2019) (3)
Learning Stable Vector Fields on Lie Groups (2021) (3)
Policy gradient methods for machine learning (2007) (3)
Proceedings of the 10th European Workshop on Reinforcement Learning (2013) (3)
How Crucial is Transformer in Decision Transformer? (2022) (3)
A REAL-TIME MODEL OF THE HUMAN KNEE FOR A VIRTUAL ORTHOPAEDIC TRAINER (2000) (3)
Adapting Preshaped Grasping Movements Using Vision Descriptors (2010) (3)
Generalized Mean Estimation in Monte-Carlo Tree Search (2019) (3)
Multi-Channel Interactive Reinforcement Learning for Sequential Tasks (2020) (3)
Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation (2020) (3)
A Nonparametric Offpolicy Policy Gradient (2020) (3)
Local-utopia policy selection for multi-objective reinforcement learning (2016) (3)
Multi-Task Policy Search (2013) (3)
Learning to Unscrew a Light Bulb from Demonstrations (2014) (3)
Residual Robot Learning for Object-Centric Probabilistic Movement Primitives (2022) (3)
Efficient online adaptation with stochastic recurrent neural networks (2017) (3)
ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition (2022) (3)
Model-free Inverse Reinforcement Learning (2011) (3)
Autonomous Learning of Page Flipping Movements via Tactile Feedback (2022) (2)
Active Inference for Robotic Manipulation (2022) (2)
Neural Networks in Robot Control (2000) (2)
A proportional power sharing method through a local control for a low-voltage islanded microgrid (2022) (2)
Reinforcement Learning of Perceptual Coupling for Motor Primitives (2008) (2)
Computed Torque Control with Nonparametric Regression Techniques (2008) (2)
Approximate Value Iteration Based on Numerical Quadrature (2018) (2)
Trial-wise exposure to visual emotional cues increases physiological arousal but not temporal discounting. (2022) (2)
Multi-modal filtering for non-linear estimation (2013) (2)
Learning Coupled Forward-Inverse Models with Combined Prediction Errors (2018) (2)
Can Modular Finger Control for In-Hand Object Stabilization be accomplished by Independent Tactile Feedback Control Laws? (2016) (2)
Safe reinforcement learning of dynamic high-dimensional robotic tasks: navigation, manipulation, interaction (2022) (2)
Combining Human Demonstrations and Motion Planning for Movement Primitive Optimization (2016) (2)
Spectral Learning of Hidden Markov Models (2014) (2)
Evolutionary training and abstraction yields algorithmic generalization of neural computers (2020) (2)
Inverse Reinforcement Learning for Strategy Extraction (2013) (2)
Guest editorial: Special issue on robot learning, Part A (2009) (2)
Monitoring der Freiflächeninanspruchnahme und -versiegelung als Beitrag für eine nachhaltige Raumentwicklung in Bayern (2021) (2)
Convex optimization with an interpolation-based projection and its application to deep learning (2020) (2)
The Benefits and Complexities of Operating Geographic Information Systems (GIS) in a High Performance Computing (HPC) Environment (2017) (2)
Deep Adversarial Reinforcement Learning for Object Disentangling (2020) (2)
Identification and modelling of race driving styles (2021) (2)
Building Skill Learning Systems for Robotics (2021) (2)
Batch Reinforcement Learning With a Nonparametric Off-Policy Policy Gradient (2020) (2)
Neural Signatures of Motor Skill in the Resting Brain (2019) (2)
Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery (2022) (2)
Assisting the practice of motor skills by humans with a probability distribution over trajectories (2017) (2)
A single dose of the catecholamine precursor Tyrosine reduces physiological arousal and decreases decision thresholds in reinforcement learning and temporal discounting (2022) (2)
Refining a DEI Assessment Tool for Use in Optimizing Professional STEM Societies for Gender Equity (2022) (2)
Related Work Our model can be viewed as a Deep Kalman Filter (2019) (2)
Metric-Based Imitation Learning Between Two Dissimilar Anthropomorphic Robotic Arms (2020) (1)
Investigating the Neural Basis of Brain-Computer Interface (BCI)-Based Stroke Rehabilitation (2013) (1)
Local Pixel Manipulation Detection with Deep Neural Networks (2019) (1)
Predicting motor learning performance from Electroencephalographic data (2014) (1)
Learning Control Policies from Optimal Trajectories (2020) (1)
Combining Real-Time Brain-Computer Interfacing and Robot Control for Stroke Rehabilitation (2010) (1)
GIS-gestützte Modellierung der Erreichbarkeiten ambulanter Pflegedienste nach SGB V und SGB XI in Unterfranken unter Berücksichtigung demographischer Entwicklungen (2020) (1)
Learning a Multi-Task Model for Control of a Compliant Robot (2016) (1)
Redundancy resolution under hard joint constraints: a generalized approach to rank updates (2020) (1)
Deep Learning of Inverse Dynamic Models (2018) (1)
Algorithmen zum Automatischen Erlernen von Motorfähigkeiten (2010) (1)
Optimizing Execution of Dynamic Goal-Directed Robot Movements with Learning Control (2018) (1)
Underactuated Waypoint Trajectory Optimization for Light Painting Photography (2020) (1)
MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction (2022) (1)
On the Analysis of Mathematical Practices in Signal Theory Courses (2021) (1)
Robot learning [TC Spotlight] (2009) (1)
Neural Linear Models with Functional Gaussian Process Priors (2021) (1)
Hierarchical Policy Blending as Inference for Reactive Robot Control (2022) (1)
Modeling Variability of Musculoskeletal Systems with Heteroscedastic Gaussian Processes (2016) (1)
Parameter and model recovery of reinforcement learning models for restless bandit problems (2021) (1)
Motor response vigour and visual fixation patterns reflect subjective valuation during intertemporal choice (2022) (1)
Monte-Carlo Robot Path Planning (2022) (1)
Mean squared advantage minimization as a consequence of entropic policy improvement regularization (2018) (1)
Structured Policy Representation: Imposing Stability in arbitrarily conditioned dynamic systems (2020) (1)
Incremental Imitation Learning with Estimation of Uncertainty (2017) (1)
Guest editorial: Special issue on robot learning, Part B (2009) (1)
Modeling Opponent Actions for Table-Tennis Playing Robot (2011) (1)
Reinforcement Learning by Relative Entropy Policy Search (2010) (1)
A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning (2020) (1)
Dopamine regulates decision thresholds in human reinforcement learning (2022) (1)
Erotic cue exposure increases physiological arousal, biases choices towards immediate rewards and attenuates model-based reinforcement learning (2022) (1)
Revisiting Grasp Map Representation with a Focus on Orientation in Grasp Synthesis (2020) (1)
Local Online Motor Babbling: Learning Motor Abundance of a Musculoskeletal Robot Arm* (2019) (1)
Interactive Structure Robotic Repositioning of Vertical Elements in Man-Machine Collaborative Assembly through Vision-Based Tactile Sensing (2019) (1)
Deterministic Variational Inference for Neural SDEs (2021) (1)
Differential Equations as a Model Prior for Deep Learning and its Applications in Robotics (2020) (1)
A Unifying Computational Framework for Optimization and Dynamic Systems Approaches to Motor Control (2003) (1)
Special issue on "Bio-inspired computing for autonomous vehicles" (2012) (1)
Increased temporal discounting and reduced model-based control in problem gambling are not substantially modulated by exposure to virtual gambling environments (2021) (1)
Real Robot Challenge: A Robotics Competition in the Cloud (2021) (1)
Local Energy Markets Improve Investment Returns of Residential BESS by Arbitrage Opportunities (2022) (1)
Active Exploration for Robotic Manipulation (2022) (1)
Russland in den Augen polnischer und deutscher Experten (2010) (1)
Inducing Probabilistic Context-Free Grammars for the Sequencing of Robot Movement Primitives (2018) (1)
Blockchain-Based Local Energy Market Enabling P2P Trading: An Australian Collated Case Study on Energy Users, Retailers and Utilities (2022) (1)
09341 Summary - Cognition, Control and Learning for Robot Manipulation in Human Environments (2009) (1)
How P2P Trading Helps an Electricity Retailer Exposed to Volatile Spot Prices: A Case Study (2022) (1)
A Comparison of Autoregressive Hidden Markov Models for Multimodal Manipulations With Variable Masses (2017) (1)
Modeling Human-Robot Interaction with Probabilistic Movement Representations (2014) (1)
Scaling Reinforcement Learning Paradigms for Motor Control (2003) (1)
Trajectory Optimization of Energy Consumption and Expected Service Life of a Robotic System (2021) (1)
Controlling the Cascade: Kinematic Planning for N-ball Toss Juggling (2022) (1)
Generalizing Movements with Information-Theoretic Stochastic Optimal Control (2014) (1)
Learning Vision-Based Tactile Skills for Robotic Architectural Assembly (2019) (1)
Exploration Driven by an Optimistic Bellman Equation (2019) (1)
A Win-Win Local Energy Market for Participants, Retailers, and the Network Operator : A Peer-to-Peer Trading-driven Case Study (2022) (1)
Establishment of line-of-sight optical links between autonomous underwater vehicles: Field experiment and performance validation (2022) (1)
Learning as a key ability for Human-Friendly Robots (2010) (0)
Learning Hierarchical Acquisition Functions for Bayesian Optimization (2020) (0)
Instrumente für klimaverträgliche Moorbodennutzung: Moorschutz in der Gemeinsamen Agrarpolitik (2020) (0)
A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors (2023) (0)
Proceedings of the 6th International Cognitive Robotics Workshop (CogRob 2008) (2008) (0)
Towards Universal Human-Machine Interfaces: A real-life Brain-Computer Interface Case Study (2016) (0)
A Hierarchical Approach to Active Pose Estimation (2022) (0)
Learning Robust Control Policies from Simulations with Perturbed Parameters (2018) (0)
Adapting Object-Centric Probabilistic Movement Primitives with Residual Reinforcement Learning (2022) (0)
Evaluating Decision Transformer Architecture on Robot Learning Tasks Erklärung zur Abschlussarbeit gemäß §22 Abs. 7 und §23 Abs. 7 APB der TU Darmstadt Abbreviations, Symbols and Operators (2022) (0)
Adaptive importance sampling with automatic model selection in reward weighted regression (ニューロコンピューティング) (2009) (0)
Reinforcement Learning using Guided Observability (2021) (0)
Constraint-Space Projection Direct Policy Search (2018) (0)
Report from Dagstuhl Seminar 15411 Multimodal Manipulation Under Uncertainty (2016) (0)
ReDSDF: Regularized Deep Signed Distance Fields for Robotics (2022) (0)
Application of a Community Battery-Integrated Microgrid in a Blockchain-Based Local Energy Market Accommodating P2P Trading (2023) (0)
Jan Peters and Jens (2011) (0)
Set Size of Information in Long-Term Memory Similarly Modulates Retrieval Dynamics in Young and Older Adults (2022) (0)
Author response: Dopaminergic modulation of the exploration/exploitation trade-off in human decision-making (2020) (0)
Hierarchical Policy Blending As Optimal Transport (2022) (0)
Simulation of the underactuated Sake Robotics Gripper in V-REP (2017) (0)
Skill Learning for Robotics (2010) (0)
Probabilistic movement primitives for coordination of multiple human–robot collaborative tasks (2016) (0)
Multimodal Manipulation Under Uncertainty (Dagstuhl Seminar 15411) (2015) (0)
Motor Skills Learning for Robotics (2009) (0)
The catecholamine precursor Tyrosine reduces autonomic arousal and decreases decision thresholds in reinforcement learning and temporal discounting (2022) (0)
A kernel-based approach to learning contact distributions for robot manipulation tasks (2017) (0)
Recurrent neural networks from learning attractor dynamics (2003) (0)
Motor Skill Learning for Humanoid Robots (2005) (0)
A real-time model of the human knee for application in virtual orthopaedic trainer (2000) (0)
Multi-Modal Learning for Dynamic Tactile Sensing (2012) (0)
Hierarchical Learning of Motor Skills with Information-Theoretic Policy Search (2013) (0)
Generalizing Manipulations using Vision Kernels (2012) (0)
Minimax and entropic proximal policy optimization (2018) (0)
Learning Throwing and Catching Skills : Video Track (2012) (0)
Distributed Reinforcement Learning with Neural Networks for Robotics (2018) (0)
Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks (2023) (0)
Machine Learning for Active Gait Support with a Powered Ankle Prosthesis (2014) (0)
An Adaptive Human Driver Model for Realistic Race Car Simulations (2022) (0)
Learning Geometric Constraints in Task and Motion Planning (2022) (0)
Reinforcement Learning by Reward-Weighted Regression (2006) (0)
Learning to Control in Operational Space Learning to Control in Operational Space (2008) (0)
Bayesian optimization for learning gaits under uncertainty (2015) (0)
Deep Optimal Control: Using the Euler-Lagrange Equation to learn an Optimal Feedback Control Law (2019) (0)
Partially Unsupervised Deep Meta-Reinforcement Learning (2021) (0)
ProMPs Robot Trajectory Intention Prediction Belief Tracker Imitation Learning Intention Aware ProMP Adaptation Spatial Deformation Mode Temporal Scaling Mode Robot Goal Tracker Human observations Motion Goals Trajectory Predictions (2019) (0)
Reinforcement Learning of Motor Skills in Robotics (2009) (0)
**** REMINDER - If you are calling into the meeting, please remember to mute your phone. **** (2011) (0)
Learning Probabilistic Feedforward and Feedback Policies for Stable Walking (2016) (0)
Robotics Challenges for Machine Learning (2007) (0)
Bayesian Regression for Artifact correction in Electroencephalography (2017) (0)
Active reward learning with a novel acquisition function (2015) (0)
Learning Dynamics Models of Contacts from Tactile Sensors (2015) (0)
Deep reinforcement learning under uncertainty for autonomous driving Deep Reinforcement Learning (0)
Cerebellar Control of Robot Arms (2001) (0)
Whether cycling around the city is in fact healthy in the light of air quality - Results of black carbon. (2023) (0)
The Effects of Intrinsic Motivation Signals on Reinforcement Learning Strategies (2018) (0)
A High-Speed Object Tracker from Off-the-Shelf Components (2009) (0)
Contextual Policy Search for Linear and Nonlinear Generalization of a Humanoid Walking Controller (2016) (0)
Wirtszellantworten auf intrazelluläre Bakterien : chlamydiale Persistenz und vergleichende Analyse von S. typhimurium zu Chlamydien in der produktiven Infektion (2004) (0)
Non-Parametric Policy Learning for High-Dimensional State Representations (2015) (0)
Raw data for Peters et al., ENeuro (2020): Dopamine and risky decision-making in gambling disorder (2020) (0)
A Local Energy Market Integrated with a Community Battery-Driven Microgrid: A Peer-to-Peer Trading Case Study in Australia (2022) (0)
03 62 0 v 1 [ cs . L G ] 8 O ct 2 01 9 Receding Horizon Curiosity (2019) (0)
Machine Learning for Robotics (2013) (0)
Conditioned Score-Based Models for Learning Collision-Free Trajectory Generation (2022) (0)
Trial-wise exposure to visual appetitive cues increases physiological arousal but not temporal discounting (2021) (0)
Robot Learning Learning Models for Control (2009) (0)
Supernova 1989R in UGC 2912 (1989) (0)
Method and apparatus for guiding a vehicle (2012) (0)
BCI and robotics framework for stroke rehabilitation (2010) (0)
Heterogeneity and Voting in Intergenerational Common Pool Problems (2017) (0)
Control of a robotic arm using a low-cost BCI (2016) (0)
Exploring Intrinsic Motivation for Quanser Reinforcement Learning Benchmark Systems (2020) (0)
Dimensionality Reduction of Movement Primitives in Parameter Space (2020) (0)
In Critical Alignment With IBME (2021) (0)
Motor Skill Learning for Cognitive Robotics (2008) (0)
Efficient data reuse in value function approximation (2009) (0)
Multimodal Manipulation Under Uncertainty (2016) (0)
Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles (2023) (0)
Author Correction: Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control (2020) (0)
Self-Paced Domain Randomization (2021) (0)
Modeling Robustness for Multi-Objective Optimization (2016) (0)
Model-Based Reinforcement Learning for Stochastic Hybrid Systems (2021) (0)
Appetitive cue exposure increases neural reward responses without modulating temporal discounting (2022) (0)
Infinite-Mixture Policies in Reinforcement Learning (2018) (0)
Seminar in Artificial Intelligence (2015) (0)
Policy Learning for Robotics (2007) (0)
Benchmarking Reinforcement Learning Algorithms on Tetherball Games (2018) (0)
Motor response vigour and fixations reflect subjective preferences during intertemporal choice (2021) (0)
Learning resolved velocity control (2008) (0)
09341 Abstracts Collection - Cognition, Control and Learning for Robot Manipulation in Human Environments (2009) (0)
Trajectory Kernel for Bayesian Optimization (2018) (0)
Energy-optimal collision-free catching of flying targets with nonlinear optimization and learning (2011) (0)
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes (2022) (0)
Monotonically Improving Model-Free Trajectory Optimization (2016) (0)
Reinforcement Learning with Bounded Information Loss (2011) (0)
Learning Control and Planning from the View of Control Theory and Imitation (2003) (0)
Efficient Exploration using Value Bounds in Deep Reinforcement Learning Effiziente Exploration in Deep Reinforcement Learning mittels beschraenkter (2019) (0)
Learning Probabilistic Classifiers from Electromyography Data for Predicting Knee Abnormalities (2016) (0)
Transferring Insights on Mental Training to Robot Motor Skill Learning (2017) (0)
Large-Scale Web Scraping for Problem Gambling Research: A Case Study of COVID-19 Lockdown Effects in Germany (2022) (0)
Decision letter: The role of ventromedial prefrontal cortex in reward valuation and future thinking during intertemporal choice (2021) (0)
Benchmarking of Policy Gradient Methods (2007) (0)
Combination of Movement Primitives for Robotics Kombination von Movement Primitives in der Robotik (2014) (0)
Data-Efficient Learning of Robotic Grasps From Human Preferences (2017) (0)
Learning walk and trot from the same objective using different types of exploration (2019) (0)
Chance Constraints for Stochastic Optimal Control and Stochastic Optimization Probabilistische Nebenbedingungen in stochastich optimaler Regelung und stochastischer Optimierung Master-Thesis von Onur Celik Dezember 2018 Chance Constraints for Stochastic Optimal Control and Stochastic Optimization Pr (2018) (0)
Incidental reinstatement of faces and scenes in medial temporal lobe subregions during word recognition (2021) (0)
3 D Object Reconstruction from Partial Views (2014) (0)
Reinforcement learning to adjust parametrized motor primitives to new situations (2012) (0)
Generalizing Demonstrated Actions in Manipulation Tasks (2010) (0)
Perception and prediction of the putting distance of robot putting movements under different visual/viewing conditions (2021) (0)
Method and apparatus for compensating for defects in a deforming operation between two beams of a press. (2011) (0)
Tolcapone, Gambling and Risky Choice (2019) (0)
Algorithmen zum Automatischen Erlernen von Motorfähigkeiten (Policy Learning Algorithms for Motor Skills) (2010) (0)
Mobile measurements of black carbon: Comparison of normal traffic with reduced traffic conditions during COVID-19 lock-down (2023) (0)
L G ] 7 O ct 2 01 9 Stochastic Optimal Control as Approximate Input Inference (0)
Reinforcement Learning for tactile-based finger gaiting (2016) (0)
Decentralized Data-Driven Tuning of Droop Frequency Controllers (2020) (0)
Integrated Bi-Manual Motion Generation and Control shaped for Probabilistic Movement Primitives (2022) (0)
Deep Learning for Reinforcement Learning in Pacman Deep Learning für Reinforcement Learning in Pacman (2014) (0)
Statement pursuant to § 23 paragraph 7 of APB (2018) (0)
Modeling How To Catch Flying Objects : Optimality Vs . Heuristics (2014) (0)
Proximal Policy Optimization with Explicit Intrinsic Motivation (2020) (0)
Learning Human Postural Control with Hierarchical Acquisition Functions (2019) (0)
A Semantic Enhancement of Unified Geometric Representations for Improving Indoor Visual SLAM (2022) (0)
A potential link between gambling addiction severity and central dopamine levels: Evidence from spontaneous eye blink rates (2018) (0)
Learning Generalizable Models for Compliant Robots (2014) (0)
Laplacian Mesh Editing for Interaction Learning (2014) (0)
Trajectory Based Upper Body Gesture Recognition for an Assistive Robot (2019) (0)
Model-Free Trajectory Optimization with Monotonic Improvement (2016) (0)
Robot Motor Skill Learning (2010) (0)
Risk-Sensitive Policy Search with Applications to Robot-Badminton (2018) (0)
Spiking neural networks solve robot planning problems Spiking neural networks (2015) (0)
Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components (2010) (0)
Deterministic Inference of Neural Stochastic Differential Equations (2020) (0)
Artificial Curiosity for Motor Skill Learning (2014) (0)
Plucking Motions for Fruit Harvesting Robots Using Probabilistic Movement Primitives (2019) (0)
Time Synchronization Scheme of Underwater Platforms Using Wireless Acoustic and Optical Communication (2022) (0)
Transfer Learning for BCIs (2018) (0)
Mapping the black carbon exposure of pedestrians and cyclists in urban environments (2013) (0)
Investigating the Neural Basis for Stroke Rehabilitation by Brain-Computer Interfaces (2012) (0)
Learning versatile solutions with policy search (2015) (0)
Grasp Affordance Densities (2011) (0)
Guided Reinforcement Learning Under Partial Observability (2019) (0)
Learning Grasp A ordance Densities (0)
Open-Ended Learning of Grasp Strategies using Intrinsically Motivated Self-Supervision∗ (2019) (0)
Abstract: BCI-based robot rehabilitation framework for stroke patients (2010) (0)
Intact model-based control in patients with medial orbitofrontal cortex lesions. (2017) (0)
Learning Algorithms for Motor Skills (2010) (0)
Graph-Based Model Predictive Visual Imitation Learning (2022) (0)
Structured Output Gaussian Processes – Technical Report – (2012) (0)
Learning to Pour Using Warped Features (2014) (0)
Technical Report: “Exploration Driven by an Optimistic Bellman Equation” (2018) (0)
Learning strategies in table tennis using inverse reinforcement learning (2014) (0)
An Update on the Collaborative REAnalysis Technical Environment (CREATE) (2019) (0)
Visual Perception of Robot Movements – How Much Information Is Required? (2019) (0)
Special issue on autonomous grasping and manipulation (2013) (0)
Simulation of Type II X-Ray Bursts (1983) (0)
Deep Lagrangian Networks for Robot Control Deep Lagrangian Networks für Roboterregelung (2020) (0)
Robot Learning for Muscular Systems (2020) (0)
Using probabilistic movement primitives in robotics (2017) (0)
Algorithms for Learning Markov Field Policies (2012) (0)

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