Switching Isotropic and Directional Exploration with Parameter Space Noise in Deep Reinforcement Learning

Izumi Karino, Kazutoshi Tanaka, Ryuma Niiyama +1

This paper proposes an exploration method for deep reinforcement learning based on parameter space noise. Recent studies have experimentally shown that parameter space noise result…