A pytorch tutorial for DRL(Deep Reinforcement Learning)
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)
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)
MCTS/UCT search for chess variants
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.
NS-3 based Energy Saving Load Balancing Algorithm
Alquerque - a 2 player abstract strategic perfect information traditional board game with computer AI option.
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.
This repository inclues the Samurai framework and all the implemented base engines.
Omok using MCTS (UCT, PUCT)
A universal code translator based on intermediate representations.
In this project I simulate how an autonomous vehicle would respond to various driving scenarios at the University of Cape Town. A 3D model of the University was created using Blender.
Hexapod project for MSc. Eng. at The University of Cape Town
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