Peide Huang

Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training

2022 · arXiv (Cornell University)

Robust Reinforcement Learning (RL) focuses on improving performances under model errors or adversarial attacks, which facilitates the real-life deployment of RL agents. Robust Adversarial Reinforcement Learning (RARL) is one of the most popular frameworks for …