AI RESEARCH
Cross-Domain Policy Optimization via Bellman Consistency and Hybrid Critics
arXiv CS.LG
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ArXi:2603.12087v1 Announce Type: new 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 a similar target domain.