Understanding the Impact of Entropy on Policy Optimization

Zafarali Ahmed, Nicolas Le Roux, Mohammad Norouzi, Dale Schuurmans

Abstract: Entropy regularization is commonly used to improve policy optimization in reinforcement learning. It is believed to help with exploration by encouraging the selection of more stochastic policies. I...