James Andrew Bagnell
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James Andrew Bagnellcomputer-science Degrees
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Computer Science
James Andrew Bagnell's Degrees
- Bachelors Computer Science University of British Columbia
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(Suggest an Edit or Addition)James Andrew Bagnell'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)
- Maximum Entropy Inverse Reinforcement Learning (2008) (2325)
- A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning (2010) (2246)
- Autonomous driving in urban environments: Boss and the Urban Challenge (2008) (1744)
- CHOMP: Gradient optimization techniques for efficient motion planning (2009) (797)
- Activity Forecasting (2012) (709)
- Maximum margin planning (2006) (695)
- Efficient Reductions for Imitation Learning (2010) (635)
- CHOMP: Covariant Hamiltonian optimization for motion planning (2013) (581)
- An Algorithmic Perspective on Imitation Learning (2018) (514)
- Planning-based prediction for pedestrians (2009) (474)
- Learning monocular reactive UAV control in cluttered natural environments (2012) (390)
- Contextual classification with functional Max-Margin Markov Networks (2009) (331)
- Autonomous helicopter control using reinforcement learning policy search methods (2001) (316)
- Navigate like a cabbie: probabilistic reasoning from observed context-aware behavior (2008) (312)
- Modeling Interaction via the Principle of Maximum Causal Entropy (2010) (269)
- Stacked Hierarchical Labeling (2010) (252)
- Pose Machines: Articulated Pose Estimation via Inference Machines (2014) (238)
- Learning to search: Functional gradient techniques for imitation learning (2009) (229)
- Reinforcement and Imitation Learning via Interactive No-Regret Learning (2014) (220)
- Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction (2017) (200)
- Covariant Policy Search (2003) (188)
- Online) Subgradient Methods for Structured Prediction (2007) (180)
- Policy Search by Dynamic Programming (2003) (174)
- Boosting Structured Prediction for Imitation Learning (2006) (171)
- A Discriminative Framework for Anomaly Detection in Large Videos (2016) (163)
- Shared Autonomy via Hindsight Optimization (2015) (162)
- Improving Multi-Step Prediction of Learned Time Series Models (2015) (162)
- Learning from Demonstration for Autonomous Navigation in Complex Unstructured Terrain (2010) (162)
- 3-D scene analysis via sequenced predictions over points and regions (2011) (147)
- Shared autonomy via hindsight optimization for teleoperation and teaming (2017) (136)
- No-Regret Reductions for Imitation Learning and Structured Prediction (2010) (130)
- Tartan Racing: A multi-modal approach to the DARPA Urban Challenge (2007) (130)
- Learning message-passing inference machines for structured prediction (2011) (123)
- Differentiable Sparse Coding (2008) (118)
- Agnostic System Identification for Model-Based Reinforcement Learning (2012) (117)
- Imitation learning for locomotion and manipulation (2007) (115)
- Improving robot navigation through self‐supervised online learning (2006) (113)
- Optimization and learning for rough terrain legged locomotion (2011) (112)
- CHIMP, the CMU Highly Intelligent Mobile Platform (2015) (110)
- An integrated system for autonomous robotics manipulation (2012) (109)
- Perceiving, learning, and exploiting object affordances for autonomous pile manipulation (2013) (103)
- Probabilistic pointing target prediction via inverse optimal control (2012) (99)
- Policy gradient methods (2010) (94)
- Adaptive workspace biasing for sampling-based planners (2008) (91)
- A convex polynomial force-motion model for planar sliding: Identification and application (2016) (89)
- Vegetation Detection for Driving in Complex Environments (2007) (88)
- Interactive segmentation, tracking, and kinematic modeling of unknown 3D articulated objects (2013) (86)
- An optimization approach to rough terrain locomotion (2010) (83)
- SpeedBoost: Anytime Prediction with Uniform Near-Optimality (2012) (83)
- Learning for Autonomous Navigation (2010) (79)
- Learning to Manipulate Unknown Objects in Clutter by Reinforcement (2015) (79)
- Blending of brain-machine interface and vision-guided autonomous robotics improves neuroprosthetic arm performance during grasping (2016) (78)
- Autonomy infused teleoperation with application to brain computer interface controlled manipulation (2017) (76)
- An Invitation to Imitation (2015) (75)
- Computational Rationalization: The Inverse Equilibrium Problem (2011) (73)
- Provably Efficient Imitation Learning from Observation Alone (2019) (73)
- Efficient touch based localization through submodularity (2012) (71)
- Learning Transferable Policies for Monocular Reactive MAV Control (2016) (71)
- Efficient 3-D scene analysis from streaming data (2013) (69)
- Autonomy Infused Teleoperation with Application to BCI Manipulation (2015) (67)
- Differential Sparse Coding (2008) (66)
- Truncated Horizon Policy Search: Combining Reinforcement Learning & Imitation Learning (2018) (64)
- Solving Uncertain Markov Decision Processes (2001) (64)
- The Principle of Maximum Causal Entropy for Estimating Interacting Processes (2013) (63)
- Introspective perception: Learning to predict failures in vision systems (2016) (61)
- Efficient temporal consistency for streaming video scene analysis (2013) (60)
- Human Behavior Modeling with Maximum Entropy Inverse Optimal Control (2009) (60)
- Near Optimal Bayesian Active Learning for Decision Making (2014) (59)
- Solving Games with Functional Regret Estimation (2014) (57)
- Active learning from demonstration for robust autonomous navigation (2012) (56)
- Co-inference for Multi-modal Scene Analysis (2012) (55)
- Movement primitives via optimization (2015) (55)
- Vision and Learning for Deliberative Monocular Cluttered Flight (2014) (54)
- Robust Object Grasping using Force Compliant Motion Primitives (2012) (52)
- Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing (2017) (52)
- High Performance Outdoor Navigation from Overhead Data using Imitation Learning (2008) (52)
- Learning Opportunity Costs in Multi-Robot Market Based Planners (2005) (51)
- Experimental Analysis of Overhead Data Processing To Support Long Range Navigation (2006) (50)
- Improving Robot Navigation Through Self-Supervised Online Learning (2006) (49)
- Learning to Filter with Predictive State Inference Machines (2015) (48)
- Clearing a pile of unknown objects using interactive perception (2013) (48)
- Accurate rough terrain estimation with space-carving kernels (2009) (48)
- Space-carving Kernels for Accurate Rough Terrain Estimation (2010) (47)
- Terrain Classification from Aerial Data to Support Ground Vehicle Navigation (2006) (46)
- Submodular Surrogates for Value of Information (2015) (44)
- Robust Supervised Learning (2005) (44)
- Contextual Sequence Prediction with Application to Control Library Optimization (2012) (43)
- (Approximate) Subgradient Methods for Structured Prediction (2007) (42)
- Inverse Optimal Heuristic Control for Imitation Learning (2009) (42)
- Generalized Boosting Algorithms for Convex Optimization (2011) (41)
- Subgradient Methods for Maximum Margin Structured Learning (2006) (41)
- Dual Policy Iteration (2018) (39)
- Learning with Scope, with Application to Information Extraction and Classification (2002) (39)
- Predictive-State Decoders: Encoding the Future into Recurrent Networks (2017) (39)
- A convex polynomial model for planar sliding mechanics: theory, application, and experimental validation (2018) (38)
- Closed-loop Servoing using Real-time Markerless Arm Tracking (2013) (37)
- On Local Rewards and Scaling Distributed Reinforcement Learning (2005) (37)
- Human-inspired force compliant grasping primitives (2014) (37)
- Learning in modular systems (2010) (34)
- Learning Autonomous Driving Styles and Maneuvers from Expert Demonstration (2012) (34)
- Improved Learning of Dynamics Models for Control (2016) (34)
- A Probabilistic Planning Framework for Planar Grasping Under Uncertainty (2017) (34)
- Learning Policies for Contextual Submodular Prediction (2013) (33)
- Learning to search: structured prediction techniques for imitation learning (2009) (33)
- A Fast Stochastic Contact Model for Planar Pushing and Grasping: Theory and Experimental Validation (2017) (33)
- Robust Monocular Flight in Cluttered Outdoor Environments (2016) (33)
- Learning decisions: robustness, uncertainty, and approximation (2004) (32)
- Feedback in Imitation Learning: The Three Regimes of Covariate Shift (2021) (32)
- Anytime online novelty and change detection for mobile robots (2011) (31)
- GATMO: A Generalized Approach to Tracking Movable Objects (2009) (29)
- Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective (2019) (29)
- Efficient Optimization of Control Libraries (2011) (29)
- Approximate MaxEnt Inverse Optimal Control and Its Application for Mental Simulation of Human Interactions (2015) (29)
- Convex Coding (2009) (28)
- Log-DenseNet: How to Sparsify a DenseNet (2017) (27)
- Predicting Multiple Structured Visual Interpretations (2015) (26)
- Anytime online novelty detection for vehicle safeguarding (2010) (25)
- Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap (2021) (24)
- Stability Conditions for Online Learnability (2011) (23)
- A Unified View of Large-Scale Zero-Sum Equilibrium Computation (2014) (23)
- Applied Imitation Learning for Autonomous Navigation in Complex Natural Terrain (2009) (22)
- Efficient Feature Group Sequencing for Anytime Linear Prediction (2014) (21)
- Boosted Backpropagation Learning for Training Deep Modular Networks (2010) (21)
- Efficient high dimensional maximum entropy modeling via symmetric partition functions (2012) (20)
- Efficient Optimization for Autonomous Robotic Manipulation of Natural Objects (2014) (20)
- Maximum Causal Entropy Correlated Equilibria for Markov Games (2011) (20)
- Online Instrumental Variable Regression with Applications to Online Linear System Identification (2016) (19)
- Kernel Conjugate Gradient for Fast Kernel Machines (2007) (16)
- Reinforcement Planning: RL for optimal planners (2012) (16)
- Detecting Interesting Events Using Unsupervised Density Ratio Estimation (2012) (16)
- Kinetics of Robotics: The Development of Universal Metrics in Robotic Swarms (1997) (15)
- Perceptual Interpretation for Autonomous Navigation through Dynamic Imitation Learning (2009) (15)
- Fast Planning for Dynamic Preferences (2008) (14)
- Planning and Execution using Inaccurate Models with Provable Guarantees (2020) (14)
- Learning Positive Functions in a Hilbert Space (2015) (14)
- Plan Recognition (2010) (14)
- Semi-Dense Visual Odometry for Monocular Navigation in Clutt ered Environment (2015) (13)
- Segmentation-based online change detection for mobile robots (2011) (13)
- DATA AS DEMONSTRATOR with Applications to System Identification (2014) (13)
- Creating Low-Cost Soil Maps for Tropical Agriculture Using Gaussian Processes (2007) (11)
- Process-Based Modeling (2010) (10)
- Anytime Neural Network: a Versatile Trade-off Between Computation and Accuracy (2018) (10)
- Gradient Boosting on Stochastic Data Streams (2017) (9)
- Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient (2022) (9)
- Minimizing user cost for shared autonomy (2016) (8)
- Inference Machines for Nonparametric Filter Learning (2016) (8)
- Online Bellman Residual Algorithms with Predictive Error Guarantees (2015) (8)
- Semantic perception for ground robotics (2012) (8)
- Learning to Smooth with Bidirectional Predictive State Inference Machines (2016) (8)
- Policy search in kernel Hilbert space (2003) (7)
- Visual chunking: A list prediction framework for region-based object detection (2014) (7)
- SpeedMachines: Anytime Structured Prediction (2013) (7)
- Learning Selectively Conditioned Forest Structures with Applications to DBNs and Classification (2007) (7)
- Anytime Neural Networks via Joint Optimization of Auxiliary Losses (2017) (6)
- Autonomous Helicopter Control using Reinforcement Learning (2001) (6)
- Online Bellman Residual and Temporal Difference Algorithms with Predictive Error Guarantees (2016) (6)
- Causal Imitation Learning under Temporally Correlated Noise (2022) (6)
- Imitation Learning for Natural Language Direction Following (2011) (5)
- Theoretical Limits of Speed and Resolution for Kinodynamic Planning in a Poisson Forest (2015) (5)
- Semi-Autonomous Manipulation of Natural Objects (2012) (4)
- CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models (2020) (4)
- Digital Soil Mapping of Soil Properties in Honduras Using Readily Available Biophysical Datasets and Gaussian Processes (2008) (4)
- Knapsack Constrained Contextual Submodular List Prediction with Application to Multi-document Summarization (2013) (4)
- Of Moments and Matching: Trade-offs and Treatments in Imitation Learning (2021) (4)
- Stabilizing Human Control Strategies through Reinforcement Learning (1999) (3)
- Predicting Contextual Sequences via Submodular Function Maximization (2012) (3)
- Bandit-Based Online Candidate Selection for Adjustable Autonomy (2009) (3)
- Editorial: Special Issue on Machine Learning in Robotics (2008) (3)
- Robots in the Classroom : Using Mobile Autonomous Agents to Stimulate Interest in Science and Engineering (1998) (3)
- Contextual Sequence Prediction via Submodular Function Optimization (2012) (3)
- Positive Semidefinite (2010) (2)
- Learning Deep Inference Machines (2010) (2)
- Perceiving, learning, and exploiting object affordances for autonomous pile manipulation (2014) (2)
- 201 Brain-Machine Interface Control of a Robotic Arm for Object Grasping is Improved With Computer-Vision Based Shared Control: (2015) (2)
- Domain Adaptation For Mobile Robot Navigation (2009) (2)
- Efficient Reductions for Imitation Learning Supplementary Material (2010) (2)
- Predicate Invention (2010) (1)
- Editorial (2008) (1)
- Passive Learning (2010) (1)
- Positive Definite (2010) (1)
- A Critique of Strictly Batch Imitation Learning (2021) (1)
- Gaussian Processes for Statistical Soil Modeling of the Tropics (2005) (1)
- Kernel Conjugate Gradient (2005) (1)
- Minimax Optimal Online Imitation Learning via Replay Estimation (2022) (1)
- PAC Identification (2010) (1)
- Feedback in Imitation Learning: Confusion on Causality and Covariate Shift (2021) (0)
- Program Synthesis From Examples (2010) (0)
- The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms (2023) (0)
- Positive Predictive Value (2010) (0)
- Decision Region Determination for Touch Based Localization (2014) (0)
- Blending of brain-machine interface and vision-guided autonomous robotics improves neuroprosthetic arm performance during grasping (2016) (0)
- A Space-Carving Approach to Surface Estimation (2008) (0)
- PAC-MDP Learning (2010) (0)
- What Would the Expert do ( · ) ?: Causal Imitation Learning (2021) (0)
- Approximate MaxEnt Inverse Optimal Control (2015) (0)
- Human-Inspired Force Compliant Grasping Primitives Moslem Kazemi · (2014) (0)
- Learning User Models During Shared Autonomy (2016) (0)
- Autonomy infused teleoperation with application to brain computer interface controlled manipulation (2017) (0)
- Piecewise Linear Models (2010) (0)
- Postsynaptic Neuron (2010) (0)
- Strategy Transfer Learning via Parametric Deviation Sets (2011) (0)
- Piecewise Constant Models (2010) (0)
- Training Strategies for Time Series : Learning for Filtering and Reinforcement Learning (2016) (0)
- Efficient Task Dependent Localization through Submodularity (2013) (0)
- Tron: A Fast Solver for Trajectory Optimization with Non-Smooth Cost Functions (2020) (0)
- Predicate Calculus (2010) (0)
- A Robot that Teaches Itself to Clear Clutter (2016) (0)
- Reinforcement Planning : Planners as Policies (2010) (0)
- The Benefits of Interaction for Learning Sequential Predictions (0)
- Inverse Reinforcement Learning without Reinforcement Learning (2023) (0)
- Game-Theoretic Algorithms for Conditional Moment Matching (2022) (0)
- Online Novelty Detection for Vehicle Safeguarding (2009) (0)
- Novelty Detection for Vehicle Safeguarding (2010) (0)
- Parallel Corpus (2010) (0)
- Programming from Traces (2010) (0)
- Human-inspired force compliant grasping primitives (2014) (0)
- Sequence Model Imitation Learning with Unobserved Contexts (2022) (0)
- Distinction is more than semantics. (1996) (0)
- Pruning Set (2010) (0)
- Training Procedures for Overlabelled Data (2013) (0)
- Ignoring Distractors in the Absence of Labels: Optimal Linear Projection to Remove False Positives During Anomaly Detection (2017) (0)
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