Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning

no code implementations • 4 Feb 2024 • Lanqing Li, Hai Zhang, Xinyu Zhang, Shatong Zhu, Junqiao Zhao, Pheng-Ann Heng

As a marriage between offline RL and meta-RL, the advent of offline meta-reinforcement learning (OMRL) has shown great promise in enabling RL agents to multi-task and quickly adapt while acquiring knowledge safely.

Meta Reinforcement Learning Offline RL