Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces

Takahisa Imagawa, Takuya Hiraoka, Yoshimasa Tsuruoka

Meta-reinforcement learning (RL) addresses the problem of sample inefficiency in deep RL by using experience obtained in past tasks for a new task to be solved. However, most meta-…