Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.
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Mar 15, 2023 - Python
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distributional-rl
Here are 22 public repositories matching this topic...
[ICRA 2024] Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning
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Aug 9, 2024 - Python
[IROS 2023] Robust Unmanned Surface Vehicle Navigation with Distributional Reinforcement Learning
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Oct 13, 2025 - Python
🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.
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Feb 28, 2021 - Python
PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF) and Extensions: N-step Bootstrapping, PER, Noisy Layer, Dueling Networks, and parallelization.
reinforcement-learning multiprocessing pytorch multi-environment reinforcement-learning-algorithms parallel-processing dueling-network-architecture prioritized-experience-replay quantile-functions dqn-pytorch distributional-rl noisy-layer fqf nstep-bootstrapping
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Oct 10, 2020 - Jupyter Notebook
PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2RL which can be added to D4PG to improve its performance.
reinforcement-learning ddpg deep-deterministic-policy-gradient iqn prioritized-experience-replay actor-critic-algorithm pytorch-implementation distributional-rl d4pg munchausen-reinforcement-learning nstep-bootstrapping d2rl
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Apr 7, 2021 - Python
Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.
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Jun 17, 2025 - Python
[UR 2023] Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment
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Jun 19, 2024 - Python
[RA-L 2025] Distributional Reinforcement Learning Based Integrated Decision Making and Control for Autonomous Surface Vehicles
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Jun 10, 2025 - C++
Deep reinforcement learning framework for fast prototyping based on PyTorch
python machine-learning reinforcement-learning deep-learning deep-reinforcement-learning pytorch ddpg vtrace sac gymnasium actor-critic trpo ppo a2c acktr td3 retrace distributional-rl ray-tune
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Mar 12, 2023 - Python
DRL-Router is a method based on distributional reinforcement learning for RSP problem。
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Oct 11, 2021 - Python
Reinforcement learning algorithm implementation
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Oct 31, 2021 - Python
Distributional reinforcement learning algorithm using conjugated discrete distributions (C2D). Data and graphs for stochastic Atari 2600 environments.
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Jan 11, 2022 - Python
Solving CartPole using Distributional RL
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Feb 10, 2021 - Jupyter Notebook
Author implementation of DSUP(q) algorithms from the NeurIPS 2024 paper "Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning"
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Nov 15, 2024 - Python
Minimal, deterministic C51 reproduction with n-step returns, Polyak averaging, and Double DQN, benchmarked against a matched DQN baseline. Built for clarity, reproducibility, and controlled ablations over atoms, support bounds, and evaluation protocols, with stable training and plot-ready outputs.
reinforcement-learning reinforcement-learning-algorithms c51 dqn-pytorch distributional-rl distributional-reinforcement-learning
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Oct 20, 2025 - Python
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Aug 31, 2019 - Python
Example Categorical DQN implementation with ReLAx
reinforcement-learning atari2600 dqn reinforcement-learning-algorithms deep-q-network atari-games categorical-dqn distributional-rl discrete-control
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Aug 29, 2022 - Jupyter Notebook
Slide presentation reviewing advances in reinforcement learning
reinforcement-learning deep-reinforcement-learning q-learning deep-q-network deep-q-learning dueling-dqn dueling-q-networks prioritized-experience-replay multi-step-learning noisy-networks double-q-learning distributional-rl distributional-reinforcement-learning
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Aug 29, 2021
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May 24, 2023 - Python
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