Model-based Adversarial Meta-Reinforcement Learning

Zichuan Lin, Garrett Thomas, Guangwen Yang +1

Meta-reinforcement learning (meta-RL) aims to learn from multiple training tasks the ability to adapt efficiently to unseen test tasks. Despite the success, existing meta-RL algori…