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BY571
IQN-and-Extensions BY571
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mit
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PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer, N-step bootstrapping, Dueling architecture and p...
dqn iqn pytorch rainbow munchausen noisy-layer distributional-r multi-environment parallel-computing parallel-processing n-step-bootstrapping pytorch-implementation reinforcement-learning implicit-quantile-networks prioritized-experience-replay reinforcement-learning-algorithms
Created 2020-08-12
37 commits to master branch, last one 3 years ago