self-play

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

OpenDILab Decision AI in StarCraftII

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

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.

The exact codes used by the team "liveinparis" at the kaggle football competition ranked 6th/1141

This is the implementation of paper Model Free Episodic Control

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

Backgammon OpenAI Gym

A Self Play reinforcement learning Agent learns to play TicTacToe using the ML-Agents Framework in Unity.

Code repository for On the interaction between supervision and self-play in emergent communication (ICLR 2020)

AI agents for the bavarian card game Schafkopf trained with reinforcement learning

TD-Gammon implementation

Self-Play Boxing Match made with Unity Machine Learning Agents

Implementation of an AlphaGo Zero paper in one C++ header file without any dependencies

An implementation of the AlphaZero algorithm for adversarial games to be used with the machine learning framework of your choice

Emulator and AI of Shadowverse

A Smart Agent using reinforcement learning with CNN + MCTS to learn to play Othello/Reversi

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

My attempt to reproduce a water down version of PBT (Population based training) for MARL (Multi-agent reinforcement learning) using DDPPO (Decentralized & distributed proximal policy optimization) from ray[rllib].

A AlphaZero implementation for Othello 10x10 / Reversi using C++

A reinforcement learning agent trained without prior human knowledge

Implementation of Alpha Go Zero - Reinforcement Learning Project, COL870 @iit-delhi

Temporal difference learning for ultimate tic-tac-toe.

A multi agent re-enforcement learning environment for many on many bot fights between space ships

Train a neural network to play 2048

Donald Michie's MENACE approach to an unbeatable self-learning Tic-Tac-Toe AI game

Implementation of TD Gammon algorithm by Gerald Tesauro at IBM's Thomas J. Watson Research Center in Python.

Implementation of Alpha Go Zero - Reinforcement Learning Project, COL870 @iit-delhi

Using Value Iteration and Policy Iteration to discover the optimal solution for the strategic dice game PIG. Ultimately interested in whether the optimal solution can be reached through self-play alone.