Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own

Weirui Ye, Yunsheng Zhang, Haoyang Weng +6

Reinforcement learning (RL) is a promising approach for solving robotic manipulation tasks. However, it is challenging to apply the RL algorithms directly in the real world. For on…