Distributional Reinforcement Learning with Regularized Wasserstein Loss

Ke Sun, Yingnan Zhao, Wulong Liu +2

The empirical success of distributional reinforcement learning (RL) highly relies on the choice of distribution divergence equipped with an appropriate distribution representation.…