JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
β756Oct 26, 2022Updated 3 years ago
Alternatives and similar repositories for jaxrl
Users that are interested in jaxrl are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- RL Environments in JAX πβ887Apr 2, 2026Updated last month
- β1,422Mar 31, 2026Updated last month
- JAX implementations of core Deep RL algorithmsβ84May 2, 2022Updated 4 years ago
- Skeleton for scalable and flexible Jax RL implementationsβ99Jul 1, 2023Updated 2 years ago
- β55Jan 20, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer β’ AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Really Fast End-to-End Jax RL Implementationsβ1,065Sep 9, 2024Updated last year
- Massively parallel rigidbody physics simulation on accelerator hardware.β3,148Updated this week
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.β872Aug 12, 2024Updated last year
- SBX: Stable Baselines Jax (SB3 + Jax) RL algorithmsβ585Feb 25, 2026Updated 2 months ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforβ¦β3,898May 29, 2022Updated 3 years ago
- β327Jan 23, 2022Updated 4 years ago
- A collection of reference environments for offline reinforcement learningβ1,676Nov 18, 2024Updated last year
- A collection of RL algorithms written in JAX.β105Jul 5, 2022Updated 3 years ago
- Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!β265Oct 31, 2025Updated 6 months ago
- End-to-end encrypted cloud storage - Proton Drive β’ AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.β1,336Updated this week
- Clean single-file implementation of offline RL algorithms in JAXβ175Nov 24, 2025Updated 5 months ago
- ποΈA research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX β’ End-to-End JAX RLβ406Mar 18, 2026Updated last month
- DrQ-v2: Improved Data-Augmented Reinforcement Learningβ434May 31, 2022Updated 3 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weightsβ¦β59Aug 4, 2022Updated 3 years ago
- Library for Model Based RLβ1,061Jul 12, 2024Updated last year
- β‘ Flashbax: Accelerated Replay Buffers in JAXβ279Sep 22, 2025Updated 7 months ago
- Multi-Agent Reinforcement Learning with JAXβ801Updated this week
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, Tβ¦β9,679Apr 20, 2026Updated 2 weeks ago
- Deploy on Railway without the complexity - Free Credits Offer β’ AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Reinforcement learning library in JAX.β102Oct 22, 2023Updated 2 years ago
- OpenAI Gym wrapper for the DeepMind Control Suiteβ229May 19, 2024Updated last year
- Conservative Q learning in Jaxβ57Feb 7, 2023Updated 3 years ago
- Collection of reinforcement learning algorithmsβ2,899Jun 17, 2024Updated last year
- Conservative Q Learning on top of SACβ139Oct 15, 2022Updated 3 years ago
- Baselines for gymnax π€β76Apr 3, 2023Updated 3 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agentβ1,541Mar 30, 2026Updated last month
- High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BCβ¦β1,353Aug 3, 2023Updated 2 years ago
- πΉοΈ A diverse suite of scalable reinforcement learning environments in JAXβ828Apr 13, 2026Updated 3 weeks ago
- Deploy to Railway using AI coding agents - Free Credits Offer β’ AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Simple and easily configurable grid world environments for reinforcement learningβ2,446Apr 25, 2026Updated 2 weeks ago
- An index of algorithms for offline reinforcement learning (offline-rl)β1,065May 23, 2024Updated last year
- An offline deep reinforcement learning libraryβ1,659Sep 10, 2025Updated 7 months ago
- Modular framework for Reinforcement Learning in pythonβ185Feb 1, 2023Updated 3 years ago
- β398Feb 13, 2023Updated 3 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RLβ408Dec 18, 2021Updated 4 years ago
- A library of reinforcement learning components and agentsβ3,981Apr 8, 2026Updated last month