Exploring More When It Needs in Deep Reinforcement Learning

Youtian Guo, Qi Gao

We propose a exploration mechanism of policy in Deep Reinforcement Learning, which is exploring more when agent needs, called Add Noise to Noise (AN2N). The core idea is: when the…