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Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning

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WocaR-RL

Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning

This repository contains a reference implementation for Worst-Case-Aware Robust Reinforcement Learning (WocaR-RL).

Our implementation for WocaR-PPO is mainly based on ATLA.

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Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning

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