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 27 public repositories matching this topic...
[ICRA 2024] Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning
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Feb 19, 2026 - 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
[RA-L 2025] Distributional Reinforcement Learning Based Integrated Decision Making and Control for Autonomous Surface Vehicles
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Feb 4, 2026 - C++
Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.
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Jun 17, 2025 - Python
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
[UR 2023] Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment
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Jun 19, 2024 - Python
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
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
Quantile Regression DQN implementation for bridge fleet maintenance optimization using Markov Decision Process. Migrated from C51 distributional RL (v0.8) with 200 quantiles and Huber loss. Features: Dueling architecture, Noisy Networks, PER, N-step learning. All 6 maintenance actions show positive returns with 68-78% VaR improvement.
reinforcement-learning deep-q-learning dueling-dqn prioritized-experience-replay noisy-networks structural-health-monitoring qr-dqn markov-decision-process distributional-rl condition-based-maintenance bridge-maintenance disaster-resilience infrastructure-maintenance-management n-step-learning bridge-fleet
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Dec 12, 2025 - Python
Solving CartPole using Distributional RL
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Feb 10, 2021 - Jupyter Notebook
A comprehensive reinforcement learning system for pump equipment condition-based maintenance using DQN (Deep Q-Network) with quantile regression and aging factor integration.
reinforcement-learning deep-q-network quantile-regression predictive-maintenance distributional-rl condition-based-maintenance prognostics-health-management aging-model disaster-resilience infrastructure-prognostics
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Jan 4, 2026 - Python
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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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
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