APO

Adversarial Policy Optimization (APO)

How APO makes a reinforcement learning agent robust to high-dimensional and noisy observations: a perturber network learns small changes to the observation that change the agent's actions the most, and the policy network learns to ignore them, in a max-min game on top of PPO.