Lin Lan

Meta Reinforcement Learning with Task Embedding and Shared Policy

2019 · arXiv (Cornell University)

Despite significant progress, deep reinforcement learning (RL) suffers from data-inefficiency and limited generalization. Recent efforts apply meta-learning to learn a meta-learner from a set of RL tasks such that a novel but related task could …