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

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)

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

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

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

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.

DEEp Reinforcement learning framework

Reinforcement Learning for Portfolio Management

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

The official code repository supporting the book, Grokking Artificial Intelligence Algorithms

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.

playing idealized trading games with deep reinforcement learning

Play Google Chrome's T-rex game with TensorFlow

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

A deep reinforcement learning bot that plays tetris

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

Free Resources For Data Science created by Shubham Kumar

A deep learning library to provide algs in pure Numpy or Tensorflow.

An environment to high-frequency trading agents under reinforcement learning

A framework for multi-agent reinforcement learning.

Using tabular and deep reinforcement learning methods to infer optimal market making strategies