reinforcement-learning

A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

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.

Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!

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

An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

TensorFlow Tutorials with YouTube Videos

A collection of machine learning examples and tutorials.

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer

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.

Build your neural network easy and fast, 莫烦Python中文教学

StarCraft II Learning Environment

Trax — Deep Learning with Clear Code and Speed

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.

Reading list for research topics in multimodal machine learning

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.

A course in reinforcement learning in the wild