Sample-Efficient Policy Constraint Offline Deep Reinforcement Learning based on Sample Filtering

Yuanhao Chen, Qi Liu, Pengbin Chen +2

Offline reinforcement learning (RL) aims to learn a policy that maximizes the expected return using a given static dataset of transitions. However, offline RL faces the distributio…