reinforcement-learning

Code for "TD-MPC2: Scalable, Robust World Models for Continuous Control"

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

UniRL is a Framework for Unified Multimodal Model Reinforcement Learning

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.

A curated list of Decision Transformer resources (continually updated)

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

UniLab: A Heterogeneous Architecture for Robot RL Beyond GPU-Dominant Paradigms

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

Honor of Kings AI Open Environment of Tencent

Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.

A curated list of awesome Deep Reinforcement Learning resources.

A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

Tien Kung-Lab: Direct IsaacLab Workflow for Legged Robots

🕹️ A diverse suite of scalable reinforcement learning environments in JAX

AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.

[CoRL 2024] HumanPlus: Humanoid Shadowing and Imitation from Humans

Multi-Agent Reinforcement Learning with JAX

Unified Reinforcement Learning Framework

🌟 A curated collection of free, high quality AI tools 🤖, APIs 🔗, datasets 📊, and learning resources 📚 covering machine learning 🧠, deep learning 🧩, generative AI 🎨, NLP 💬, and data science 📈. Designed to help developers 👩‍💻, researchers 🔬, and creators ✨ explore and build with AI faster ⚡.

Python implementations of contextual bandits algorithms

🚀🚀🚀A collection of some awesome public projects about Large Language Model(LLM), Vision Language Model(VLM), Vision Language Action(VLA), AI Generated Content(AIGC), the related Datasets and Applications.

The repository is for safe reinforcement learning baselines.

A curated list of awesome NVIDIA Issac Gym frameworks, papers, software, and resources

A curated collection of papers, technical reports, frameworks, and tools for on-policy distillation (OPD) of large language models

[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

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

Set of robotic environments based on PyBullet physics engine and gymnasium.

Multi-objective Gymnasium environments for reinforcement learning