Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN

6 Aug 2018Dror FreirichRon MeirAviv Tamar

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 generative adversarial network (GAN) model... (read more)

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