Return Augmented Decision Transformer for Off-Dynamics Reinforcement Learning

Ruhan Wang, Yu Yang, Zhishuai Liu +2

We study offline off-dynamics reinforcement learning (RL) to utilize data from an easily accessible source domain to enhance policy learning in a target domain with limited data. O…