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

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

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)

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Stock Trading Bot using Deep Q-Learning

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

A curated list of Monte Carlo tree search papers with implementations.

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Arnold - DOOM Agent

DEEp Reinforcement learning framework

Reinforcement Learning for Portfolio Management

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.

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind

playing idealized trading games with deep reinforcement learning

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Play Google Chrome's T-rex game with TensorFlow