ACReL: Adversarial Conditional value-at-risk Reinforcement Learning

M. Godbout, M. Heuillet, S. Chandra +2

In the classical Reinforcement Learning (RL) setting, one aims to find a policy that maximizes its expected return. This objective may be inappropriate in safety-critical domains s…