Bagnell, J. Andrew

Reinforcement learning in robotics: A survey

Kober, J., Bagnell, J. A., & Peters, J. (2013) · The International Journal of Robotics Research

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 3,160

A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning

Ross, S., Gordon, G. J., & Bagnell, J. A. (2018) · Carnegie Mellon University

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 1,941

Activity Forecasting

Kitani, K. M., Ziebart, B. D., Bagnell, J. A., & Hebert, M. (2012) · Lecture Notes in Computer Science

Video Surveillance and Tracking MethodsContext-Aware Activity Recognition Systems

Cited by 701

Planning-based prediction for pedestrians

Ziebart, B. D., Ratliff, N., Gallagher, G., Mertz, C., Peterson, K., Bagnell, J. A., Hebert, M., Dey, A. K., & Srinivasa, S. (2009) · 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems

Robotic Path Planning AlgorithmsEvacuation and Crowd Dynamics

Cited by 456

An algorithmic perspective on imitation learning

Osa, T., Pajarinen, J., Neumann, G., Bagnell, J. A., Abbeel, P., & Peters, J. (2018) · Foundations and Trends in Robotics

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 405

Improving Multi-Step Prediction of Learned Time Series Models

Venkatraman, A., Hebert, M., & Bagnell, J. (2015) · Proceedings of the AAAI Conference on Artificial Intelligence

Time Series Analysis and ForecastingReinforcement Learning in Robotics

Cited by 198

Blending of brain-machine interface and vision-guided autonomous robotics improves neuroprosthetic arm performance during grasping

Downey, J. E., Weiss, J. M., Muelling, K., Venkatraman, A., Valois, J.-S., Hebert, M., Bagnell, J. A., Schwartz, A. B., & Collinger, J. L. (2016) · Journal of NeuroEngineering and Rehabilitation

EEG and Brain-Computer InterfacesProsthetics and Rehabilitation Robotics

Cited by 111

Probabilistic pointing target prediction via inverse optimal control

Ziebart, B., Dey, A., & Bagnell, J. A. (2012) · Proceedings of the 2012 ACM international conference on Intelligent User Interfaces

Interactive and Immersive DisplaysGaze Tracking and Assistive Technology

Cited by 90

All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning

Swamy, G., Choudhury, S., Sun, W., Wu, Z. S., & Bagnell, J. A. (2025) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 55

Causal Imitation Learning under Temporally Correlated Noise

Swamy, G., Choudhury, S., Bagnell, J. A., & Wu, Z. S. (2022) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 9