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 ExplorationPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Reinforcement Learning (RL) | 2 | 50.00% |
Atari Games | 1 | 25.00% |
Efficient Exploration | 1 | 25.00% |