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An Incremental Inverse Reinforcement Learning Approach for Motion Planning with Human Preferences.

, , , and . CoRR, (2023)

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Simultaneous Learning of Objective Function and Policy from Interactive Teaching with Corrective Feedback., and . AIM, page 726-732. IEEE, (2019)Policy learning by weighting the exploration with rewards, and . Submitted to the International Conference on Machine Learning (ICML), (2008)Predictable Reinforcement Learning Dynamics through Entropy Rate Minimization., , , and . CoRR, (2023)Reinforcement Learning in Robotics: A Survey., and . Reinforcement Learning, volume 12 of Adaptation, Learning, and Optimization, Springer, (2012)Automatic Tuning and Selection of Whole-Body Controllers., , , and . IROS, page 12935-12941. IEEE, (2022)A Practical Bayesian Optimization Approach for the Optimal Estimation of the Rotor Effective Wind Speed., , , and . ACC, page 4179-4185. IEEE, (2019)Interactive Learning with Corrective Feedback for Policies Based on Deep Neural Networks., , , and . ISER, volume 11 of Springer Proceedings in Advanced Robotics, page 353-363. Springer, (2018)Using Models Based on Cognitive Theory to Predict Human Behavior in Traffic: A Case Study., , , , and . ITSC, page 5870-5875. IEEE, (2023)Experience Selection in Deep Reinforcement Learning for Control., , , and . J. Mach. Learn. Res., (2018)Extended Abstract: Benchmarking Behavior Prediction Models in Gap Acceptance Scenarios., , and . IV, page 3148. IEEE, (2024)