🧑‍🏫 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, ... 🧠

A toolkit for developing and comparing reinforcement learning algorithms.

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

verl: Volcano Engine Reinforcement Learning for LLMs

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.

Train transformer language models with reinforcement learning.

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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

FinRL®: Financial Reinforcement Learning. 🔥

Python Implementation of Reinforcement Learning: An Introduction

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

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

An educational resource to help anyone learn deep reinforcement learning.

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

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

An elegant PyTorch deep reinforcement learning library.

Reinforcement learning resources curated

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

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.5, GPT-OSS, Llama, and more!

(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

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

Playing Pokemon Red with Reinforcement Learning

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

A course in reinforcement learning in the wild

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

PyTorch implementations of deep reinforcement learning algorithms and environments

Deep Reinforcement Learning for Keras.