Efficient Wasserstein Natural Gradients for Reinforcement Learning

Ted Moskovitz, Michael Arbel, Ferenc Huszar +1

A novel optimization approach is proposed for application to policy gradient methods and evolution strategies for reinforcement learning (RL). The procedure uses a computationally…