implicit-quantile-networks

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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.

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

Updated Mar 4, 2023
Jupyter Notebook

akazemipour / Distributional-RL

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Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.

c51 iqn quantile-regression-dqn implicit-quantile-networks distributional-rl fqf qrdqn

Updated Jun 17, 2025
Python

dannysdeng / dqn-pytorch

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PyTorch - Implicit Quantile Networks - Quantile Regression - C51

reinforcement-learning rainbow pytorch c51 quantile-regression implicit-quantile-networks

Updated Jul 26, 2019
Python

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