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.
reinforcement-learning
parallel-computing
rainbow
pytorch
multi-environment
dqn
reinforcement-learning-algorithms
parallel-processing
iqn
prioritized-experience-replay
pytorch-implementation
implicit-quantile-networks
n-step-bootstrapping
distributional-r
noisy-layer
munchausen
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Updated
Mar 4, 2023 - Jupyter Notebook