Cangqing Wang

Theoretical Analysis of Meta Reinforcement Learning: Generalization Bounds and Convergence Guarantees

2024 · arXiv (Cornell University)

This research delves deeply into Meta Reinforcement Learning (Meta RL) through a exploration focusing on defining generalization limits and ensuring convergence. By employing a approach this article introduces an innovative theoretical framework to meticulously assess …