Kuan-Chen Pan

Cross-Domain Policy Optimization via Bellman Consistency and Hybrid Critics

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. Despite its potential, cross-domain transfer in RL is known to have two fundamental and intert…