Materials for AlphaGo
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Updated
Mar 10, 2022
Materials for AlphaGo
Reversi reinforcement learning by AlphaGo Zero methods.
Implementation of Alpha Go Zero - Reinforcement Learning Project, COL870 @iit-delhi
A Blooms implementation for the AlphaZero General library.
An asynchronous implementation of AlphaZero, a self-play reinforcement learning algorithm.
I researched and explained AlphaGo/AlphaGo Zero papers, which had beaten the world the game of Go champion in 2016, 2017. Especially, I applied Alpha Zero algorithm to Othello to catch the whole idea.
Reversi reinforcement learning by AlphaGo Zero methods.
I am interested in gobang,so I am going to use python to draw GUI and program a powerful AI to have fun! I will implement my idea by alpha-beta algorithm and alphago-zero algorithm.
Personal implementation of deep learning algorithms in the RL space to learn.
A replica of the AlphaZero methodology for deep reinforcement learning in Python
A replica of the AlphaZero methodology for deep reinforcement learning in Python
An implementation of the AlphaZero algorithm for Ultimate tic-tac-toe
Learning to play tennis from scratch with AlphaGo Zero style self-play using DDPG
Switchable Lightweight Anti-symmetric Processing (SLAP) with CNN - Application in Gomoku Reinforcement Learning
Experimental Crunchy AI player based on the AlphaGo-Zero algorithm.
Just another Hearthstone Simulator in C# .Net Core, with some A.I. approaches!
🌲 Teaching an AI to solve Sokoban using AlphaGo-Zero style RL & Single-Player MCTS.
learn Monte Carlo tree search
😼 AlphaZero Gomoku
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