Noisy Networks for Exploration

Meire Fortunato, Mohammad Gheshlaghi Azar, Bilal Piot +9

We introduce NoisyNet, a deep reinforcement learning agent with parametric noise added to its weights, and show that the induced stochasticity of the agent's policy can be used to…