no code implementations • 23 May 2022 • Xiaoyu Chen, Yao Mu, Ping Luo, Shengbo Li, Jianyu Chen
Furthermore, we show that the learned belief states can be plugged into downstream RL algorithms to improve performance.
no code implementations • NeurIPS 2021 • Yao Mu, Yuzheng Zhuang, Bin Wang, Guangxiang Zhu, Wulong Liu, Jianyu Chen, Ping Luo, Shengbo Li, Chongjie Zhang, Jianye Hao
Model-based reinforcement learning aims to improve the sample efficiency of policy learning by modeling the dynamics of the environment.
Model-based Reinforcement Learning reinforcement-learning +1