Reinforcement Learning with Wasserstein Distance Regularisation, with Applications to Multipolicy Learning

Mohammed Amin Abdullah, Aldo Pacchiano, Moez Draief

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 poli…