Björn Lindenberg

Conjugated Discrete Distributions for Distributional Reinforcement Learning

In this work we continue to build upon recent advances in reinforcement learning for finite Markov processes. A common approach among previous existing algorithms, both single-actor and distributed, is to either clip rewards or to apply a transformation method on Q-functions to handle a large variet…