Bo-Shi Yu

Robust Deep Reinforcement Learning via Adversarial Data Augmentation for Robotic Control Under Observation Uncertainty

Observation uncertainty can drive a deep reinforcement learning (DRL) controller to select inappropriate actions even when its nominal policy performs well. This issue is especially pronounced in robotic systems deployed outside controlled laboratory conditions, where sensing and communication are affected by noise, bi...