Cross-Domain Policy Optimization via Bellman Consistency and Hybrid Critics

Ming-Hong Chen, Kuan-Chen Pan, You-De Huang +2

Cross-domain reinforcement learning (CDRL) is meant to improve the data efficiency of RL by leveraging the data samples collected from a source domain to facilitate the learning in…