Reinforcement Learning basic tasks
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Updated
Dec 30, 2022 - Jupyter Notebook
Reinforcement Learning basic tasks
MCTS implementation for Fanorona board game agent.
A Hex board game with a customizable Monte Carlo Tree Search (MCTS) agent with optional leaf parallelization in C++14. Includes a logging functionality for MCTS insights.
Implementation of an AI in the game Connect-Four using Monte Carlo Tree Search (MCTS) and QT.
Reversi (Othello) AI game in C#. Using Monte Carlo Tree Search algorithm AND BTMM algorithm.
Trude's Troops is a short card/auto battler game.
Tic-tac-toe/"noughts & crosses" written in Clojure (CLI + deps). AI powered by Monte Carlo tree search algorithm
AI Pathfinder Game
AI-based Gomoku game bot, focusing on performance and strategic gameplay, competing in tournaments against other optimized bots on piskvork.
We compare different policies for the checkers game using reinforcement learning algorithms.
An extended version of Tic-Tac-Toe, with the option to play against other humans or an AI agent
This repository contains implementations of popular Reinforcement Learning algorithms.
SUSTech CS311 Artificial Intelligence (H, Spring 2024) Project 1
Little program for MCTS and alpha-beta-pruning that can play connect4 against each other.
Tic Tac Toe Implementation with Minimax and Monte Carlo Tree Search (MCTS) AI bots using Raylib
A fast-paced turn-based game with several advanced algorithms to verse.
Yet Another "Monte-Carlo Tree Search" implementation
Tictactoe engine using Monte Carlo Tree Search
Cranes problem with Monte Carlo Tree Search algorithm
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