Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning

Marvin Alles, Philip Becker-Ehmck, Patrick van der Smagt +1

In offline reinforcement learning, a policy is learned using a static dataset in the absence of costly feedback from the environment. In contrast to the online setting, only using…