distributional-r

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BY571 / IQN-and-Extensions
PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer, N-step bootstrapping, Dueling architecture and parallel env support.
iqn distributional-r rainbow reinforcement-learning-algorithms reinforcement-learning dqn pytorch-implementation implicit-quantile-networks noisy-layer n-step-bootstrapping prioritized-experience-replay munchausen pytorch parallel-computing parallel-processing multi-environment
Language:Jupyter Notebook 73