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.
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
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.
[ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
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
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