Boosting CVaR Policy Optimization with Quantile Gradients

Yudong Luo, Erick Delage

Optimizing Conditional Value-at-risk (CVaR) using policy gradient (a.k.a CVaR-PG) faces significant challenges of sample inefficiency. This inefficiency stems from the fact that it…