The simplest, fastest repository for training/finetuning medium-sized GPTs.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

Blame someone else for your bad code.

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

ALIEN is a CUDA-powered artificial life simulation program.

🚀 Efficient implementations of state-of-the-art linear attention models

Mastering Diverse Domains through World Models

Really Fast End-to-End Jax RL Implementations

🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

RL Environments in JAX 🌍

Multi-Agent Reinforcement Learning with JAX

Evolution Strategies in JAX 🦎

♟️ Vectorized RL game environments in JAX

Neural MMO - A Massively Multiagent Environment for Artificial Intelligence Research

jax-triton contains integrations between JAX and OpenAI Triton

Awesome Open-ended AI

(Crafter + NetHack) in JAX. ICML 2024 Spotlight.

Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning

JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️

A framework for multi-agent reinforcement learning.

Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!

Reinforcement learning on general 2D physics environments in JAX. ICLR 2025 Oral.

3D Client for https://github.com/neuralmmo/environment

Pytorch Lightning Distributed Accelerators using Ray

Efficient baselines for autocurricula in JAX.

Code for Discovering Preference Optimization Algorithms with and for Large Language Models

Take credit for someone else's work; or, a typo gone too far.

Accelerated minigrid environments with JAX

Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]