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.
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Updated
Jun 5, 2023 - C++
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.
This repository contains the AI engine for a simplified version of Heartstone game
Monte Carlo Tree Search algorithm applied to a simplified version of Blizzard's Hearthstone. Explores various types of greedy AI agents to learn from and beat down. A part of Reinforcement Learning class at Wrocław University of Science and Technology
🥪 A tool to generate sandwich recipes for Pokémon Scarlet & Pokémon Violet
Work in Progress. Implementation of the Monte Carlo Tree Search, a decision making algorithm.
Tic-tac-toe/"noughts & crosses" written in Clojure (CLI + deps). AI powered by Monte Carlo tree search algorithm
Reversi player using Monte Carlo Tree Search
Cranes problem with Monte Carlo Tree Search algorithm
An implementation of Monte Carlo Tree Search for Domineering written for a competition organized by Johannes stöhr.
Using reinforcement learning to play games.
In this project, my primary goal was to implement an AI player class powered by the Monte Carlo Tress Search algorithm which can play for a win as well as defend a defeat to compete with a Human player.
An RL bot based off of Monte Carlo Tree Search for the Go board game, from scratch
A Monte Carlo Tree Search Library for users to apply to two-player games.
Strong Aritifical Intelligence for Checkers created using Upper Confidence Tree algorithm with GUI.
An AI of hexagon gobang, using mcts
Simple implementation of MCTS in checkers
AI implementation using monte carlo tree search (MCTS) for the Game of Amazons
MCTS/minimax turn-based game AI for Java
Sentiment Analysis & Monte Carlo Tree Search with Nested Rollout Policy Adaptation for Business
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