Provably Improved Context-Based Offline Meta-RL with Attention and Contrastive Learning

Lanqing Li, Yuanhao Huang, Mingzhe Chen +3

Meta-learning for offline reinforcement learning (OMRL) is an understudied problem with tremendous potential impact by enabling RL algorithms in many real-world applications. A pop…