Distributional Reinforcement Learning with Dual Expectile-Quantile Regression

Sami Jullien, Romain Deffayet, Jean-Michel Renders +2

Distributional reinforcement learning (RL) has proven useful in multiple benchmarks as it enables approximating the full distribution of returns and extracts rich feedback from env…