Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk

Chengyang Ying, Xinning Zhou, Hang Su +3

Though deep reinforcement learning (DRL) has obtained substantial success, it may encounter catastrophic failures due to the intrinsic uncertainty of both transition and observatio…