A pytorch tutorial for DRL(Deep Reinforcement Learning)
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Updated
Apr 24, 2023 - Jupyter Notebook
A pytorch tutorial for DRL(Deep Reinforcement Learning)
Alquerque - a 2 player abstract strategic perfect information traditional board game with computer AI option.
利用强化学习、基于蒙特卡洛树搜索的UCT算法解决围棋死活题问题。Inplement improved Reinforcement Learning and UCT algorithms (based on Monte Carlo Tree Search) on Go/Tsumego problems
Oware and Ouril - traditional African Mancala games with computer AI using Monte Carlo Tree Search (MCTS) with UCB (Upper Confidence Bounds) applied to trees (UCT in short)
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)
Omok using MCTS (UCT, PUCT)
Source files for my 2019 Radar Conf paper
Python implementation of Monte Carlo Tree Search
Hexapod project for MSc. Eng. at The University of Cape Town
3 dimensional Four in a Row game with computer AI using Monte Carlo Tree Search (MCTS) with UCB (Upper Confidence Bounds) applied to trees (UCT in short).
An ultimate tic tac toe game written in python using PyGame
AI for the game "Connect Four". Available on PyPI.
General N x N x K game with a GUI and AI. Can be used to play Tic Tac Toe or Gomoku. AI uses MiniMax and UCT Monte Carlo Search Tree. Read Guide.pdf.
Dots and Boxes with reinforcement lerning
MCTS/UCT search for chess variants
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