Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
Awesome List for Agentic RL
Agent-R1: Training Powerful LLM Agents with End-to-End Reinforcement Learning
AI and engineering reinforcement learning for human
RL implementations
[NeurIPS'26] SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
UniLab: A Heterogeneous Architecture for Robot RL Beyond GPU-Dominant Paradigms
A suite of test scenarios for multi-agent reinforcement learning.
[EMNLP 2026] MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research · 浏览器里运行的安卓模拟器 · Browser-hosted Android Simulator · Verifiable Evaluation · Scalable Online RL Training
BFM_Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning
Turn any repository into verifiable RL environments for coding agents - Harbor tasks you can train on, evaluate and share on the Hugging Face Hub
Official repository for DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
人车模拟器(Human-vehicle Simulator)
[ICLR 2026] ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving
FineEnvs — RL Environments 101: building and scaling RL environments in the age of LLMs
📄Score Centering Stabilizes Off-policy Reinforcement Learning
Deterministic Clash Royale simulator and a reinforcement-learning agent for 2.6 Hog Cycle. Integer-exact physics from client data, 1,600+ tests.
Open infrastructure for training, evaluating, and deploying System 1 decision models across language and multimodal backbones.
First JEPA-based learning framework for mapping-free LiDAR-based perceptive locomotion
具身智能学习手册 - 覆盖VLA模型、遥操作、Sim2Real、强化学习等完整知识体系的系统性学习指南
A curated list of papers on reinforcement learning post-training for LLMs
[NeurIPS 2026] Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning
Reflex: Visually Grounded Reactive Humanoid Control (code coming soon)
Gym-style environment for Warcraft III Legacy: stepping, observations and commands through an injected DLL
Open-source simulator for autonomous driving research.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!
A collection of machine learning examples and tutorials.
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
A course in reinforcement learning in the wild
Puffing up reinforcement learning
Democratizing Reinforcement Learning for LLMs
A Next-Generation Training Engine Built for Ultra-Large MoE Models
This repo contains the Hugging Face Deep Reinforcement Learning Course.
A library of reinforcement learning components and agents
AI Infra / AI Orchestration / AI Control Plane
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
A fully open-source humanoid arm for physical AI research and deployment in contact-rich environments.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
A high-performance distributed training framework for Reinforcement Learning
An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
A collection of environments for autonomous driving and tactical decision-making tasks
Open source neural network chess engine with GPU acceleration and broad hardware support.
🤖 Machine Learning Summer School Guide
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
Monte Carlo tree search in JAX
Simple and easily configurable grid world environments for reinforcement learning
Textbook on reinforcement learning from human feedback
ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.
GLM-4.6V/4.5V/4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
A lightweight suite of motion imitation methods for training controllers.
Reinforcement Learning environments based on the 1993 game Doom :godmode:
Scalable toolkit for efficient model reinforcement
A collection of robotics simulation environments for reinforcement learning
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities
A lightweight library for PyTorch training tools and utilities
Simulation of spiking neural networks (SNNs) using PyTorch.
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)