A fast C++ impementation of Monte Carlo Tree Search with abstract classes that a user of this library can extend in order to use it. To demonstrate it I apply it to the game of Quoridor.
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Updated
Sep 8, 2021 - C++
A fast C++ impementation of Monte Carlo Tree Search with abstract classes that a user of this library can extend in order to use it. To demonstrate it I apply it to the game of Quoridor.
In this project we try to create a sophisticated computer agent to play the Contact Bridge card game. Our goal is to develop an agent that is tough to play against, with fast reaction time so it is able to play in real time against humans. We approached this as a search problem, and implemented search-tree heuristics based on Minimax and Monte C…
Recombining and concurrent Monte Carlo tree search
A solver for the game of Tak as described in Patrick Rothfuss's Kingkiller Chronicles.
AI for the Connect 4 game
Implementation of an AlphaGo Zero paper in one C++ header file without any dependencies
This is my entry winning CodeCup competition 2021 with the game Zuniq
Companion repository of the "Dancer in the Dark" paper.
the full monte - a generic MCTS library for game AIs with (planned) concurrency and network support
The content of this repository will be inherent to the Computational Intelligence course at Polytechnic University of Turin academic year 2023/2024
Strong Aritifical Intelligence for Checkers created using Upper Confidence Tree algorithm with GUI.
An AI of hexagon gobang, using mcts
AI implementation using monte carlo tree search (MCTS) for the Game of Amazons
MCTS/minimax turn-based game AI for Java
Monte Carlo tree search (MCTS) for Elixir.
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
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