A unified view of entropy-regularized Markov decision processes

Gergely Neu, Anders Jonsson, Vicenç Gómez

We propose a general framework for entropy-regularized average-reward reinforcement learning in Markov decision processes (MDPs). Our approach is based on extending the linear-prog…