Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief

Kaiyang Guo, Yunfeng Shao, Yanhui Geng

Model-based offline reinforcement learning (RL) aims to find highly rewarding policy, by leveraging a previously collected static dataset and a dynamics model. While the dynamics m…