Farama-Foundation / D4RLView external linksLinks
A collection of reference environments for offline reinforcement learning
☆1,646Nov 18, 2024Updated last year
Alternatives and similar repositories for D4RL
Users that are interested in D4RL are comparing it to the libraries listed below
Sorting:
- ☆202Mar 25, 2023Updated 2 years ago
- An offline deep reinforcement learning library☆1,639Sep 10, 2025Updated 5 months ago
- Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning☆1,734Jan 20, 2026Updated 3 weeks ago
- An index of algorithms for offline reinforcement learning (offline-rl)☆1,048May 23, 2024Updated last year
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities☆492Jan 10, 2026Updated last month
- Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.☆2,769Apr 29, 2024Updated last year
- Code for conservative Q-learning☆471Dec 7, 2021Updated 4 years ago
- High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC…☆1,323Aug 3, 2023Updated 2 years ago
- Collection of reinforcement learning algorithms☆2,862Jun 17, 2024Updated last year
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆656Apr 6, 2021Updated 4 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆559Jun 26, 2023Updated 2 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆391Dec 18, 2021Updated 4 years ago
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.☆866Aug 12, 2024Updated last year
- Library for Model Based RL☆1,048Jul 12, 2024Updated last year
- Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"☆1,241Jul 18, 2024Updated last year
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆747Oct 26, 2022Updated 3 years ago
- Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.☆4,450Updated this week
- ☆359Oct 12, 2022Updated 3 years ago
- Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"☆528Oct 6, 2022Updated 3 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,401Nov 29, 2023Updated 2 years ago
- ☆316Jan 23, 2022Updated 4 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆152Mar 19, 2021Updated 4 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,398Dec 15, 2025Updated last month
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆598Oct 28, 2020Updated 5 years ago
- An elegant PyTorch offline reinforcement learning library for researchers.☆383Jul 11, 2025Updated 7 months ago
- Code for MOPO: Model-based Offline Policy Optimization☆191May 17, 2022Updated 3 years ago
- PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.☆12,702Updated this week
- A large-scale benchmark and learning environment.☆1,696Jan 25, 2025Updated last year
- DrQ-v2: Improved Data-Augmented Reinforcement Learning☆431May 31, 2022Updated 3 years ago
- A toolkit for reproducible reinforcement learning research.☆2,078May 4, 2023Updated 2 years ago
- A collection of robotics simulation environments for reinforcement learning☆848Jan 24, 2026Updated 3 weeks ago
- Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets☆133Nov 21, 2024Updated last year
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆9,097Jul 8, 2025Updated 7 months ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆530Nov 22, 2022Updated 3 years ago
- robosuite: A Modular Simulation Framework and Benchmark for Robot Learning☆2,207Feb 4, 2026Updated last week
- A collection of offline reinforcement learning algorithms.☆208Nov 26, 2024Updated last year
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆163Jul 17, 2020Updated 5 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆128Feb 8, 2022Updated 4 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆227May 19, 2024Updated last year