College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics; MIIT Key Laboratory of Pattern Analysis and Machine Intelligence; School of Electronic and Computer Engineering, Peking University
Ke Jiang, Jia-Yu Yao, Xiaoyang Tan
Offline reinforcement learning;state distributional shift;state recovery;inverse dynamics model
Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning