Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis

Tao Li, Haozhe Lei, Quanyan Zhu

Meta reinforcement learning (meta RL), as a combination of meta-learning ideas and reinforcement learning (RL), enables the agent to adapt to different tasks using a few samples. H…