Moez Draief

A note on reinforcement learning with Wasserstein distance regularisation, with applications to multipolicy learning.

2018 · arXiv (Cornell University)

We describe an application of Wasserstein distance to Reinforcement Learning. The Wasserstein distance in question is between the distribution of mappings of trajectories of a policy into some metric space, and some other fixed distribution …