Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables

Kate Rakelly, Aurick Zhou, Chelsea Finn, Sergey Levine, Deirdre Quillen

Abstract: Deep reinforcement learning algorithms require large amounts of experience to learn an individual task. While meta-reinforcement learning (meta-RL) algorithms can enable agents to learn new skills ...