Reward Space Noise for Exploration in Deep Reinforcement Learning

Chuxiong Sun, Rui Wang, Qian Li, Xiaohui Hu

Abstract: A fundamental challenge for reinforcement learning (RL) is how to achieve efficient exploration in initially unknown environments. Most state-of-the-art RL algorithms leverage action space noise to...