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Expectation-Maximization for Inverse Reinforcement Learning with Hidden Data.

, , , and . AAMAS, page 1034-1042. ACM, (2016)

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Inverse Learning of Robot Behavior for Collaborative Planning., and . IROS, page 1-9. IEEE, (2018)SA-Net: Deep Neural Network for Robot Trajectory Recognition from RGB-D Streams., , and . CoRR, (2019)Online Inverse Reinforcement Learning Under Occlusion., , and . AAMAS, page 1170-1178. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Expectation-Maximization for Inverse Reinforcement Learning with Hidden Data., , , and . AAMAS, page 1034-1042. ACM, (2016)Marginal MAP estimation for inverse RL under occlusion with observer noise., and . UAI, volume 180 of Proceedings of Machine Learning Research, page 1907-1916. PMLR, (2022)Online Inverse Reinforcement Learning with Learned Observation Model., , and . CoRL, volume 205 of Proceedings of Machine Learning Research, page 1468-1477. PMLR, (2022)Model-Free IRL Using Maximum Likelihood Estimation., , and . AAAI, page 3951-3958. AAAI Press, (2019)A survey of inverse reinforcement learning: Challenges, methods and progress., and . Artif. Intell., (2021)Individual Planning in Infinite-Horizon Multiagent Settings: Inference, Structure and Scalability., and . NIPS, page 478-486. (2015)Approximate solutions of interactive dynamic influence diagrams using ε-behavioral equivalence., , and . ISAIM, (2010)