6514 Open source projects that are alternatives of or similar to Alpha Zero General

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

AlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm" by DeepMind.

alphaGo版本的五子棋(gobang, gomoku)

Deep Learning big homework of UCAS

No description or website provided.

A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.

Chess reinforcement learning by AlphaGo Zero methods.

Board Game Reinforcement Learning using AlphaZero method. including Makhos (Thai Checkers), Reversi, Connect Four, Tic-tac-toe game rules

Using self-play, MCTS, and a deep neural network to create a hearthstone ai player

UCThello - a board game demonstrator (Othello variant) with computer AI using Monte Carlo Tree Search (MCTS) with UCB (Upper Confidence Bounds) applied to trees (UCT in short)

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

A course in reinforcement learning in the wild

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

Open Machine Learning course at MIPT

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Solutions of Reinforcement Learning, An Introduction

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ChainerRL is a deep reinforcement learning library built on top of Chainer.

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

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Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more work needed

Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)

Quiz & Assignment of Coursera

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

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..

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Learning to trade under the reinforcement learning framework

backtrader with DRL ( Deep Reinforcement Learning)

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

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Quiz & Assignment of Coursera

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Reinforcement Learning Workshop for Data Science BKK

Paper reading notes on Deep Learning and Machine Learning

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

CAUTION: This is not maintained anymore. Visit https://github.com/chainer-community/chainer-colab-notebook/

MAGNet: Multi-agents control using Graph Neural Networks

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.

TensorFlow Tutorials with YouTube Videos

60_Days_RL_Challenge中文版

Learning human driver models from NGSIM data with imitation learning.

Master Thesis: Limit order placement with Reinforcement Learning

🙄 Difficult algorithm, Simple code.

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

Tools for using computer algebra systems to solve math problems step-by-step with reinforcement learning

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

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A repo for data science related questions and answers

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

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