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monte-carlo-tree-search

Here are 422 public repositories matching this topic...

suragnair / alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

reinforcement-learning deep-learning neural-network tensorflow keras pytorch mcts othello gomoku monte-carlo-tree-search gobang alphago tf alphago-zero alpha-zero alphazero self-play

Updated Feb 28, 2024
Jupyter Notebook

junxiaosong / AlphaZero_Gomoku

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

board-game reinforcement-learning tensorflow pytorch mcts gomoku rl monte-carlo-tree-search self-learning gobang alphago alphago-zero alphazero

Updated Apr 24, 2024
Python

werner-duvaud / muzero-general

MuZero

machine-learning reinforcement-learning deep-learning neural-network deep-reinforcement-learning python3 pytorch gym mcts rl tensorboard residual-network monte-carlo-tree-search self-learning alphago model-based-rl alphazero muzero muzero-general

Updated Jan 7, 2024
Python

google-deepmind / mctx

Monte Carlo tree search in JAX

reinforcement-learning monte-carlo-tree-search jax

Updated Jan 28, 2024
Python

opendilab / LightZero

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios

Updated Apr 28, 2024
Python

awesome-monte-carlo-tree-search-papers

benedekrozemberczki / awesome-monte-carlo-tree-search-papers

A curated list of Monte Carlo tree search papers with implementations.

learning machine-learning reinforcement-learning deep-learning monte-carlo machine-learning-algorithms q-learning policy-gradient reinforcement-learning-algorithms rl tree-search atari policy-evaluation monte-carlo-tree-search deep-q-learning reinforcement-learning-agent

Updated Mar 16, 2024
Python

MolecularAI / aizynthfinder

A tool for retrosynthetic planning

cheminformatics neural-networks monte-carlo-tree-search chemical-reactions astrazeneca reaction-informatics

Updated Jan 30, 2024
Python

peter1591 / hearthstone-ai

A Hearthstone AI based on Monte Carlo tree search and neural nets written in modern C++.

ai neural-network hearthstone monte-carlo-tree-search simulation-engine

Updated Mar 1, 2018
C++

DataCanvasIO / Hypernets

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

reinforcement-learning keras mcts hyperparameter-optimization evolutionary-algorithms nas monte-carlo-tree-search hyperparameter-tuning automl neural-architecture-search nasnet enas autodl

Updated Apr 22, 2024
Python

namin / llm-verified-with-monte-carlo-tree-search

LLM verified with Monte Carlo Tree Search

ai coq lean synthesis dafny monte-carlo-tree-search llm

Updated Apr 28, 2024
Python

jbradberry / mcts

Board game AI implementations using Monte Carlo Tree Search

python board-game artificial-intelligence monte-carlo-tree-search board-game-framework

Updated Apr 19, 2020
Python

pandezhao / alpha_sigma

A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.

reinforcement-learning deep-learning deep-reinforcement-learning pytorch gomoku monte-carlo-tree-search gomoku-game pytorch-rl alphazero

Updated Apr 4, 2019
Python

liuanji / WU-UCT

A novel parallel UCT algorithm with linear speedup and negligible performance loss.

parallel-algorithm monte-carlo-tree-search upper-confidence-bound upper-confidence-trees

Updated Apr 26, 2021
Python

netcan / AnimalChess

Animal Fight Chess Game（斗兽棋） written in rust.

rust board-game chess ai alpha-beta-pruning monte-carlo-tree-search minmax alphazero

Updated Jan 21, 2023
Rust

HanqingWangAI / SceneMover

Project of Siggraph Asia 2020 paper: Scene Mover: Automatic Move Planning for Scene Arrangement by Deep Reinforcement Learning

reinforcement-learning monte-carlo-tree-search scene-arrangement scene-mover siggraph-asia-2020

Updated Dec 4, 2020
Python

zfountas / deep-active-inference-mc

Deep active inference agents using Monte-Carlo methods

cognitive-science variational-inference monte-carlo-tree-search monte-carlo-methods machine-learning-models variational-autoencoders dsprites disentangled-representations model-based-reinforcement-learning active-inference animal-ai cognitive-architectures

Updated Oct 19, 2021
Python

in-op / GameAI

Various C# implementations of game AI

monte-carlo multithreading artificial-intelligence monte-carlo-simulation minimax monte-carlo-tree-search parallel-processing game-ai minimax-algorithm

Updated Aug 21, 2020
C#

kobanium / Ray

Computer go engine using Monte-Carlo Tree Search (MCTS)

go baduk weiqi mcts ray monte-carlo-tree-search

Updated Mar 21, 2024
C++

lowrollr / turbozero

fast + parallel AlphaZero in JAX

reinforcement-learning mcts gpu-acceleration vectorization monte-carlo-tree-search alphazero jax

Updated Mar 26, 2024
Python

masouduut94 / MCTS-agent-python

Monte Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space and building a search tree accordingly. It has already had a profound impact on Artificial Intelligence (AI) approaches for domains that can be represented as trees of sequential decisions, particularly games …

reinforcement-learning mcts markov-decision-processes monte-carlo-tree-search sequential-decisions decision-space game-of-hex

Updated Mar 10, 2024
Python

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