2022
Distributional Reinforcement Learning for Risk-Sensitive Policies
NeurIPS 2022accept
We address the problem of learning a risk-sensitive policy based on the CVaR risk measure using distributional reinforcement learning. In particular, we show that the standard action-selection strategy when applying the distributional Bellman optimality operator can result in convergence to neither…