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RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration.

, , , , and . IEEE Robotics Autom. Lett., 5 (4): 6262-6269 (2020)

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RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration., , , , and . IEEE Robotics Autom. Lett., 5 (4): 6262-6269 (2020)Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction., and . CoRR, (2022)RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration., , , , and . CoRR, (2019)State-Action Similarity-Based Representations for Off-Policy Evaluation., and . CoRR, (2023)UT Austin Villa: RoboCup 2018 3D Simulation League Champions., , , , and . RoboCup, volume 11374 of Lecture Notes in Computer Science, page 462-475. Springer, (2018)UT Austin Villa: RoboCup 2019 3D Simulation League Competition and Technical Challenge Champions., , , and . RoboCup, volume 11531 of Lecture Notes in Computer Science, page 540-552. Springer, (2019)Tackling Unbounded State Spaces in Continuing Task Reinforcement Learning., , , and . CoRR, (2023)Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction., and . AAAI, page 9417-9425. AAAI Press, (2023)Reducing Sampling Error in Batch Temporal Difference Learning., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 7543-7552. PMLR, (2020)