Meta Reinforcement Learning with Task Embedding and Shared Policy

Lin Lan, Zhenguo Li, Xiaohong Guan +1

Despite significant progress, deep reinforcement learning (RL) suffers from data-inefficiency and limited generalization. Recent efforts apply meta-learning to learn a meta-learner…