Martin Riedmiller
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Computer Science
Martin Riedmiller's Degrees
- PhD Computer Science University of Southern California
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(Suggest an Edit or Addition)Martin Riedmiller'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
- Human-level control through deep reinforcement learning (2015) (19924)
- Playing Atari with Deep Reinforcement Learning (2013) (8672)
- A direct adaptive method for faster backpropagation learning: the RPROP algorithm (1993) (4591)
- Striving for Simplicity: The All Convolutional Net (2014) (3825)
- Deterministic Policy Gradient Algorithms (2014) (2873)
- Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method (2005) (971)
- Discriminative Unsupervised Feature Learning with Convolutional Neural Networks (2014) (871)
- Emergence of Locomotion Behaviours in Rich Environments (2017) (737)
- Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images (2015) (712)
- Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks (2014) (597)
- Multimodal deep learning for robust RGB-D object recognition (2015) (595)
- Advanced supervised learning in multi-layer perceptrons — From backpropagation to adaptive learning algorithms (1994) (592)
- An Algorithm for Distributed Reinforcement Learning in Cooperative Multi-Agent Systems (2000) (476)
- Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards (2017) (475)
- Graph networks as learnable physics engines for inference and control (2018) (458)
- Batch Reinforcement Learning (2012) (456)
- DeepMind Control Suite (2018) (367)
- Learning by Playing - Solving Sparse Reward Tasks from Scratch (2018) (339)
- Maximum a Posteriori Policy Optimisation (2018) (334)
- Deep auto-encoder neural networks in reinforcement learning (2010) (326)
- RPROP - A Fast Adaptive Learning Algorithm (1992) (277)
- Learning an Embedding Space for Transferable Robot Skills (2018) (273)
- Reinforcement learning for robot soccer (2009) (270)
- Autonomous reinforcement learning on raw visual input data in a real world application (2012) (229)
- Rprop - Description and Implementation Details (1994) (228)
- Magnetic control of tokamak plasmas through deep reinforcement learning (2022) (224)
- Data-efficient Deep Reinforcement Learning for Dexterous Manipulation (2017) (216)
- A learned feature descriptor for object recognition in RGB-D data (2012) (204)
- Learning and Transfer of Modulated Locomotor Controllers (2016) (191)
- Distributed Value Functions (1999) (188)
- Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning (2020) (187)
- Reinforcement learning in feedback control (2011) (180)
- Karlsruhe Brainstormers - A Reinforcement Learning Approach to Robotic Soccer (2000) (128)
- Calculating the Perfect Match: An Efficient and Accurate Approach for Robot Self-localization (2005) (114)
- Improving Deep Neural Networks with Probabilistic Maxout Units (2013) (101)
- Evaluation of Policy Gradient Methods and Variants on the Cart-Pole Benchmark (2007) (94)
- Learning to Drive a Real Car in 20 Minutes (2007) (94)
- V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control (2019) (82)
- Robust Reinforcement Learning for Continuous Control with Model Misspecification (2019) (77)
- ADAPTIVE REACTIVE JOB-SHOP SCHEDULING WITH REINFORCEMENT LEARNING AGENTS (2008) (66)
- A Neural Reinforcement Learning Approach to Learn Local Dispatching Policies in Production Scheduling (1999) (64)
- Acquiring visual servoing reaching and grasping skills using neural reinforcement learning (2013) (64)
- Approximate real-time optimal control based on sparse Gaussian process models (2014) (63)
- Autonomous Learning of State Representations for Control: An Emerging Field Aims to Autonomously Learn State Representations for Reinforcement Learning Agents from Their Real-World Sensor Observations (2015) (62)
- PVEs: Position-Velocity Encoders for Unsupervised Learning of Structured State Representations (2017) (62)
- On Experiences in a Complex and Competitive Gaming Domain: Reinforcement Learning Meets RoboCup (2007) (60)
- Neural Reinforcement Learning Controllers for a Real Robot Application (2007) (55)
- Distributed policy search reinforcement learning for job-shop scheduling tasks (2012) (54)
- Relative Entropy Regularized Policy Iteration (2018) (53)
- Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics (2020) (52)
- Optimization of Gaussian process hyperparameters using Rprop (2013) (51)
- Unsupervised Learning of Local Features for Music Classification (2012) (48)
- Learn to Swing Up and Balance a Real Pole Based on Raw Visual Input Data (2012) (47)
- Fast Network Pruning and Feature Extraction by using the Unit-OBS Algorithm (1996) (46)
- CBR for State Value Function Approximation in Reinforcement Learning (2005) (44)
- RoboCup 2004: Robot Soccer World Cup VIII (2005) (43)
- Incremental GRLVQ: Learning relevant features for 3D object recognition (2008) (43)
- Concepts and Facilities of a Neural Reinforcement Learning Control Architecture for Technical Process Control (1999) (41)
- Using Machine Learning Techniques in Complex Multi-Agent Domains (2003) (41)
- A Distributional View on Multi-Objective Policy Optimization (2020) (38)
- Self-supervised Learning of Image Embedding for Continuous Control (2019) (37)
- Reinforcement learning for stochastic cooperative multi-agent-systems (2004) (36)
- Neural reinforcement learning to swing-up and balance a real pole (2005) (36)
- Fitted Q Iteration with CMACs (2007) (35)
- A Case Study on Improving Defense Behavior in Soccer Simulation 2D: The NeuroHassle Approach (2009) (34)
- On a Successful Application of Multi-Agent Reinforcement Learning to Operations Research Benchmarks (2007) (33)
- Reinforcement learning in a nutshell (2007) (33)
- Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models (2019) (33)
- Real-time 3D Ball Recognition using Perspective and Catadioptric Cameras (2007) (32)
- Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes (2021) (32)
- Line Based Robot Localization under Natural Light Conditions (2004) (31)
- 10 Steps and Some Tricks to Set up Neural Reinforcement Controllers (2012) (30)
- Data-efficient Hindsight Off-policy Option Learning (2020) (30)
- Electricity Demand Forecasting using Gaussian Processes (2013) (30)
- Brainstormers 2D — Team Description 2009 (2005) (29)
- Deep learning of visual control policies (2010) (29)
- Reinforcement Learning for Cooperating and Communicating Reactive Agents in Electrical Power Grids (2000) (29)
- A brain-computer interface for high-level remote control of an autonomous, reinforcement-learning-based robotic system for reaching and grasping (2014) (29)
- Approximate model-assisted Neural Fitted Q-Iteration (2014) (27)
- Learning Situation Dependent Success Rates of Actions in a RoboCup Scenario (2000) (26)
- Preparative continuous separation of biological particles by means of free‐flow magnetophoresis in a free‐flow electrophoresis chamber (1992) (26)
- The Neuro Slot Car Racer: Reinforcement Learning in a Real World Setting (2009) (25)
- Compositional Transfer in Hierarchical Reinforcement Learning (2019) (25)
- Reinforcement learning on an omnidirectional mobile robot (2003) (25)
- Making a Robot Learn to Play Soccer Using Reward and Punishment (2007) (24)
- Learning to Control Dynamic Systems (1996) (22)
- Regularized Hierarchical Policies for Compositional Transfer in Robotics (2019) (21)
- Scaling Adaptive Agent-Based Reactive Job-Shop Scheduling to Large-Scale Problems (2007) (21)
- Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion (2020) (20)
- Modeling Moving Objects in a Dynamically Changing Robot Application (2005) (20)
- On Progress in RoboCup: The Simulation League Showcase (2010) (19)
- Simultaneously Learning Vision and Feature-based Control Policies for Real-world Ball-in-a-Cup (2019) (19)
- Autonomous Optimization of Targeted Stimulation of Neuronal Networks (2016) (19)
- Reinforcement learning on explicitly specified time scales (2003) (19)
- Reinforcement learning without an explicit terminal state (1998) (18)
- Speeding-up Reinforcement Learning with Multi-step Actions (2002) (18)
- Improved neural fitted Q iteration applied to a novel computer gaming and learning benchmark (2011) (18)
- Learning a Partial Behavior for a Competitive Robotic Soccer Agent (2006) (18)
- BRIDGING THE GAP : LEARNING IN THE ROBOCUP SIMULATION AND MIDSIZE LEAGUE (2006) (17)
- Reducing policy degradation in neuro-dynamic programming (2006) (16)
- Self-learning neural control of a mobile robot (1995) (16)
- Learning to dribble on a real robot by success and failure (2008) (16)
- Application of sequential reinforcement learning to control dynamic systems (1996) (16)
- Learning to Control at Multiple Time Scales (2003) (15)
- RoboCup-2003: New Scientific and Technical Advances (2004) (13)
- Computational object recognition: a biologically motivated approach (2009) (12)
- Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration (2021) (12)
- Local Search for Policy Iteration in Continuous Control (2020) (12)
- Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion (2021) (12)
- A Neural Approach for the Control of Piezoelectric Micromanipulation Robots (1998) (12)
- On Multi-objective Policy Optimization as a Tool for Reinforcement Learning (2021) (11)
- Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies (2008) (11)
- Representation Matters: Improving Perception and Exploration for Robotics (2020) (11)
- Using Neural Reinforcement Controllers in Robotics (1995) (11)
- Effective Methods for Reinforcement Learning in Large Multi-Agent Domains (Leistungsfähige Verfahren für das Reinforcement Lernen in komplexen Multi-Agenten-Umgebungen) (2005) (10)
- Controlling an inverted pendulum by neural plant identification (1993) (10)
- Daily Prediction of the Foreign Exchange Rate Between the US Dollar and the German Mark Using Neural (1997) (10)
- High Quality Thermostat Control by Reinforcement Learning - A Case Study (1998) (10)
- Using reinforcement learning for engine control (1999) (10)
- Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies (2021) (9)
- The Challenges of Exploration for Offline Reinforcement Learning (2022) (9)
- Cognitive concepts in autonomous soccer playing robots (2010) (9)
- Modeling effects of intrinsic and extrinsic rewards on the competition between striatal learning systems (2013) (9)
- Adaptive long-term control of biological neural networks with Deep Reinforcement Learning (2019) (9)
- Evolution of Computer Vision Subsystems in Robot Navigation and Image Classification Tasks (2004) (8)
- Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification (2020) (8)
- Appearance-Based Robot Discrimination Using Eigenimages (2006) (8)
- First results on the application of the Fynesse control architecture (1997) (8)
- On the Applicability of Unsupervised Feature Learning for Object Recognition in RGB-D Data (2011) (8)
- Multi-agent Case-Based Reasoning for Cooperative Reinforcement Learners (2006) (8)
- The Cooperative Driver: Multi-Agent Learning for Preventing Traffic Jams (2013) (8)
- Creating a Robot Soccer Team from Scratch: the Brainstormers Tribots (2003) (8)
- Learning by Experience from Others — Social Learning and Imitation in Animals and Robots (2003) (7)
- Die Brainstormers: Entwurfsprinzipien lernfähiger autonomer Roboter (2006) (7)
- Evaluating model-based planning and planner amortization for continuous control (2021) (7)
- Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning (2021) (6)
- Joint Equilibrium Policy Search for Multi-Agent Scheduling Problems (2008) (6)
- Collect & Infer - a fresh look at data-efficient Reinforcement Learning (2021) (6)
- Brainstormers 2003 - Team Description (2003) (6)
- An Analysis of Case-Based Value Function Approximation by Approximating State Transition Graphs (2007) (5)
- Simple Sensor Intentions for Exploration (2020) (5)
- Learning Temporal Coherent Features through Life-Time Sparsity (2012) (5)
- Massively Parallel Training of Multi Layer Perceptrons With Irregular Topologies (1995) (5)
- Abstract State Spaces with History (2006) (5)
- Evaluation of Batch-Mode Reinforcement Learning Methods for Solving DEC-MDPs with Changing Action Sets (2008) (5)
- Taming the reservoir: Feedforward training for recurrent neural networks (2012) (4)
- Fynesse: a hybrid architecture for self-learning control (2000) (4)
- Karlsruhe Brainstormers - Design Principles (1999) (4)
- Safe Q-Learning on Complete History Spaces (2007) (4)
- Fynesse: An architecture for integrating prior knowledge in autonomously learning agents (2004) (4)
- Search space reduction for strategy learning in sequential decision processes (1999) (4)
- MO2: Model-Based Offline Options (2022) (4)
- Selbständig lernende neuronale Steuerungen (1997) (3)
- Application of a self-learning controller with continuous control signals based on the DOE-approach (1997) (3)
- Karlsruhe Brainstormers 2000 Team Description (2000) (3)
- The Smaller the Better: Comparison of Two Approaches for Sales Rate Prediction (2003) (3)
- Quinoa: a Q-function You Infer Normalized Over Actions (2019) (3)
- Fuzzy-neuro-controlled verified instruction scheduler (1999) (2)
- Reinforcement Learning Using a Grid Based Function Approximator (2005) (2)
- Generalization in Reinfor ement Learning and theUse of Observations-Based (2007) (2)
- Participating in Autonomous Robot Competitions: Experiences from a Robot Soccer Team (2009) (2)
- Learning ( near ) Time Optimal Control for Flexible Robot Joints (2011) (2)
- Controlling biological neural networks with deep reinforcement learning (2018) (2)
- Speeding-up Reinforcement Learning with (2001) (2)
- Comparing different methods to speed up reinforcement learning in a complex domain (2005) (2)
- A Constrained Multi-Objective Reinforcement Learning Framework (2021) (2)
- Machine Learning for Autonomous Robots (2004) (2)
- Brainstormers 2004-Team Description (2004) (1)
- De Novo Molecular Design Using Graph Kernels (2011) (1)
- Learning Symbolic Maps from Robot Navigation Bachelor Thesis in Cognitive Science (2004) (1)
- 06251 Abstracts Collection - Multi-Robot Systems: Perception, Behaviors, Learning, and Action (2006) (1)
- Learning Skill Embeddings for Transferable Robot Skills (2017) (1)
- Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach (2022) (1)
- Multi-Robot Systems : Perception , Behaviors , Learning , and Action Dagstuhl Seminar (2006) (1)
- Approaches for the integration of a priori knowledge into anautonomously learning control (1999) (1)
- "What, not how": Solving an under-actuated insertion task from scratch (2020) (1)
- SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration (2022) (1)
- Rethinking Exploration for Sample-Efficient Policy Learning (2021) (1)
- Learning policies for abstract state spaces (2005) (1)
- Learning machines that perceive, act and communicate (2013) (1)
- RoboCup: Yesterday, Today, and Tomorrow Workshop of the Executive Committee in Blaubeuren, October 2003 (2003) (1)
- Overview of RoboCup 2003 Competition and Conferences (2003) (1)
- Increasing Precision of Credible Case-Based Inference (2008) (1)
- A new method for the analysis of neural reference model control (1997) (1)
- Design of autonomously learning controllers using FYNESSE (2001) (0)
- Enhancing the episodic natural actor-critic algorithm by a regularisation term to stabilize learning of control structures (2011) (0)
- Ýòò××× Aeaeû Ö Blockinøø Blockinøùöö Óö Ëëõùùòøøøð ××óò Èöóóððñ× Êêðð Ë Blockinóóòò Blockinø¸ååöøøò Ëôóøø¸ååöøøò Êêêêññðððö Íòòúö××øø Ø Ããöð×öùùù¸º º Áòòóöññøøø¸èó×øøø ¼¸½¾¾ Ããöð×öùùù Èèóòòò ····»»¾½»»¼¼¹¹¿¿¿¸üü ····»»¾½»»¼¼¹¹¾½½ ¹åååðð × Blockin Blockinóóò¸ööööñðööºùùùººº¸×ôóøøôôººòòóºùòò¹¹¹öð×öùùù (2008) (0)
- A New Method for the Analysis of Neural Reference (2007) (0)
- Learning Robot Skill Embeddings (2017) (0)
- Ëëëö Ëôô Êêêù Blockinøøóò Óö Ëøööøøøý Äääöòòòò Ò Ëëõùùòøøøð ××óò Èöó Blockin Blockin×××× (2007) (0)
- Äääöòòòò Øó Óòøöóð Ø Åùðøøôðð Ììññ Ë Blockin Blockinðð× (2007) (0)
- Äääöòòòò Ëëøùùøøóò Ôòòòòø Ëù Blockin (2007) (0)
- ERPROBUNG DES BAUS VON ASPHALT-SPURWEGEN IN BADEN-WUERTTEMBERG (1990) (0)
- A Vision for Reinforcement Learning and its Implications for Neural Compuation (2010) (0)
- Solving Continuous Control via Q-learning (2022) (0)
- Evaluation of Machine Learning Methods on a Swinging Humanoid (2009) (0)
- Í××òò Åùðøø¹×øøô Øøóò× Óö ×øøö Êêêòòóö Blockin Blockinññòø Äääöòòòò Êêðð Ë Blockinóóòò Blockinø (2007) (0)
- CROSS-TRAINED CONVOLUTIONAL NEURAL NETWORKS USING MULTIMODAL IMAGES (2017) (0)
- Efficient Identification of State in Reinforcement Learning (2009) (0)
- Invited talks (2004) (0)
- Lecture Notes in Artificial Intelligence (Subseries of Lecture NoteS in Computer Science): Preface (2005) (0)
- 09371 Abstracts Collection - Algorithmic Methods for Distributed Cooperative Systems (2009) (0)
- RoboCup 2003 : New Scientific and Technical Advancements (2004) (0)
- Algorithmic Methods for Distributed Cooperative Systems Dagstuhl Seminar (2010) (0)
- Improvement of a Web Browser Game Through the Knowledge Extracted from Player Behavior (2013) (0)
- An Algorithm for Distributed Reinfor ement Learning in Cooperative Multi-Agent Systems (2000) (0)
- Autonomous Learning of State Representations for Control: An Emerging Field Aims to Autonomously Learn State Representations for Reinforcement Learning Agents from Their Real-World Sensor Observations (2015) (0)
- P121: Investigation of low complexity seizure detection algorithm for closed loop devices in epilepsy treatment (2014) (0)
- Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains (2023) (0)
- EARNING AN E MBEDDING S PACE FOR T RANSFERABLE R OBOT S KILLS (2018) (0)
- MASSIVELY PARALLEL TRAINING OF MULTI LAYERPERCEPTRONS WITH IRREGULAR (1995) (0)
- Position States Learning t t-1 t-2 t-3 pull push Velocity States Obs (2017) (0)
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