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Train transformer language models with reinforcement learning.

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes and reinforcement learning (RL).

Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime.

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

Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning

Python library for Reinforcement Learning.

A construction kit for reinforcement learning environment management.

A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities

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!

Cosmos-RL is a flexible and scalable Reinforcement Learning framework specialized for Physical AI applications.

RL study guide — foundations through RLHF, DPO, GRPO, RLVR, agentic RL, and offline RL. Hand-written CS294 notes, 34 lecture drafts, 9 tested exercises, citations that resolve.

DEEp Reinforcement learning framework

Repo containing code for multi-agent deep reinforcement learning (MADRL).

Minimal and Clean Reinforcement Learning Examples

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

A collection of reinforcement learning environments for simple web interaction tasks

Code from the Deep Reinforcement Learning in Action book from Manning, Inc

A high-performance distributed training framework for Reinforcement Learning

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

Baba Is You simulator using C++ with some reinforcement learning

AI framework for Reinforcement Learning, Automated Planning and Scheduling

A library of reinforcement learning components and agents

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

FinRL®: Financial Reinforcement Learning. 🔥

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

A suite of test scenarios for multi-agent reinforcement learning.