Tzahi Shimkin

Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN

The recently proposed distributional approach to reinforcement learning (DiRL) is centered on learning the distribution of the reward-to-go, often referred to as the value distribution. In this work, we show that the distributional Bellman equation, which drives DiRL methods, is equivalent to a gene…