High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
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Aug 3, 2023 - Python
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offline-reinforcement-learning
Here are 115 public repositories matching this topic...
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
reinforcement-learning deep-learning deep-reinforcement-learning gym flax behavioral-cloning sac continuous-control deep-deterministic-policy-gradient jax soft-actor-critic offline-reinforcement-learning batch-reinforcement-learning
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Oct 26, 2022 - Jupyter Notebook
An elegant PyTorch offline reinforcement learning library for researchers.
reinforcement-learning deep-learning deep-reinforcement-learning pytorch offline-reinforcement-learning offlinerl
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Aug 9, 2026 - Python
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
reinforcement-learning deep-reinforcement-learning q-learning artificial-intelligence dqn policy-gradient imitation-learning aaai ijcai reinforcement-learning-papers hierarchical-reinforcement-learning icml multi-agent-reinforcement-learning neurips meta-reinforcement-learning offline-reinforcement-learning rl-papers reinforcement-learning-conferences reinforcement-learning-paper reinforcement-learning-conferences-papers
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Nov 8, 2025
A Japanese (Riichi) Mahjong AI Framework
mahjong machine-learning reinforcement-learning deep-learning transformers deep-reinforcement-learning transformer dqn behavioral-cloning imitation-learning game-ai curriculum-learning japanese-mahjong riichi-mahjong mahjong-ai majsoul mahjong-soul offline-rl offline-reinforcement-learning
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Feb 16, 2025 - Python
Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym
machine-learning reinforcement-learning deep-learning robotics deep-reinforcement-learning openai-gym pytorch transformer mujoco pytorch-transformers offline-reinforcement-learning
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Jun 10, 2022 - Python
A simple and easy-to-use autonomous driving environment for reinforcement learning, based on the CARLA simulator.
reinforcement-learning decision-making gym rl autonomous-driving autonomous-vehicles self-driving carla carla-simulator offline-reinforcement-learning
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Dec 30, 2025 - Python
Unified Implementations of Offline Reinforcement Learning Algorithms
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Dec 19, 2025 - Python
Datasets with baselines for Offline MARL.
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Nov 2, 2025 - Python
A collection of offline reinforcement learning algorithms.
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Nov 26, 2024 - Python
Clean single-file implementation of offline RL algorithms in JAX
reinforcement-learning flax cql single-file jax awac iql offline-rl offline-reinforcement-learning d4rl decision-transformer td3bc
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Jun 5, 2026 - Python
PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.
machine-learning pytorch dqn reinforcement-learning-algorithms sac pytorch-implementation discrete-sac offline-reinforcement-learning
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May 6, 2024 - Python
Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets
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Nov 21, 2024 - Python
[ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"
reinforcement-learning imitation-learning jax safe-reinforcement-learning diffusion-models offline-reinforcement-learning hamilton-jacobi-reachability
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Feb 11, 2025 - Python
Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
reinforcement-learning transformer generative-model model-based-reinforcement-learning offline-reinforcement-learning
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May 12, 2023 - Python
Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.
machine-learning deep-reinforcement-learning pytorch transformer lstm rl monte-carlo-tree-search multilayer-perceptron gym-environments muzero arxiv-papers offline-reinforcement-learning resnetv2 online-reinforcement-learning stochastic-muzero muzero-stochastic
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Dec 31, 2025 - Python
Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
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Aug 14, 2022 - Python
[ICLR 2025] The offical implementation of "PSEC: Skill Expansion and Composition in Parameter Space", a new framework designed to facilitate efficient and flexible skill expansion and composition, iteratively evolve the agents' capabilities and efficiently address new challenges
reinforcement-learning robotics decision-making transfer-learning lora multi-objective-optimization pretrained-models imitation-learning fine-tuning continual-learning offline-reinforcement-learning large-language-models parameter-efficient-fine-tuning
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Feb 12, 2025 - Python
Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC
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Aug 3, 2023 - Jupyter Notebook
[NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"
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Apr 6, 2023 - Python
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