Distributional Reinforcement Learning with Unconstrained Monotonic Neural Networks

Thibaut Théate, Antoine Wehenkel, Adrien Bolland +2

The distributional reinforcement learning (RL) approach advocates for representing the complete probability distribution of the random return instead of only modelling its expectat…