CROP: Conservative Reward for Model-based Offline Policy Optimization

Hao Li, Xiao-Hu Zhou, Shu-Hai Li +6

Offline reinforcement learning (RL) aims to optimize a policy using collected data without online interactions. Model-based approaches are particularly appealing for addressing off…