NoisyNet-DQN

Reinforcement LearningIntroduced 20002 papers

Description

NoisyNet-DQN is a modification of a DQN that utilises noisy linear layers for exploration instead of ϵ\epsilon-greedy exploration as in the original DQN formulation.

Papers Using This Method