Q-Learning Networks

NoisyNet-DQN

Introduced by Fortunato et al. in Noisy Networks for Exploration

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

Source: Noisy Networks for Exploration

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Reinforcement Learning (RL) 2 50.00%
Atari Games 1 25.00%
Efficient Exploration 1 25.00%

Categories