MorvanZhou/Reinforcement-learning-with-tensorflow

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

This repository contains implementations and illustrative code to accompany DeepMind publications

An educational resource to help anyone learn deep reinforcement learning.

Reinforcement learning resources curated

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

🧑‍🏫 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, ... 🧠

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Minimal and clean examples of machine learning algorithms implementations

A toolkit for developing and comparing reinforcement learning algorithms.