deep-reinforcement-learning

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.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

FinRL®: Financial Reinforcement Learning. 🔥

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

Open-source simulator for autonomous driving research.

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

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

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

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

Lab Materials for MIT 6.S191: Introduction to Deep Learning

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

A course in reinforcement learning in the wild

Repo for the Deep Reinforcement Learning Nanodegree program

This repo contains the Hugging Face Deep Reinforcement Learning Course.

《大语言模型》作者：赵鑫，李军毅，周昆，唐天一，文继荣

A curated list of reinforcement learning with human feedback resources (continually updated)

Minimal and Clean Reinforcement Learning Examples

FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

Modularized Implementation of Deep RL Algorithms in PyTorch

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

Tensorforce: a TensorFlow library for applied reinforcement learning

Open source neural network chess engine with GPU acceleration and broad hardware support.

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

MuZero

PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

Deep Reinforcement Learning: Zero to Hero!

FinRL­®-Meta: Dynamic datasets and market environments for FinRL.