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Search results for python mcts
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38 search results found
Alphazero_gomoku
⭐
2,427
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
Muzero General
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2,203
MuZero
Lightzero
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767
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios
Tinyzero
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372
Easily train AlphaZero-like agents on any environment you want!
Tetris_mcts
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309
MCTS project for Tetris
Hypernets
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256
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
Crazyara
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217
A Deep Learning UCI-Chess Variant Engine written in C++ & Python 🦜
Supergo
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207
A student implementation of Alpha Go Zero
Doudizhu
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132
AI斗地主
Doom Net Pytorch
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121
Reinforcement learning models in ViZDoom environment
Alphazero_gomoku_mpi
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86
An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku
Turbozero
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53
fast + parallel AlphaZero in JAX
Reinforcementlearning
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48
Reinforcing Your Learning of Reinforcement Learning
Mcts Agent Python
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48
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 and planning problems. In this project I used a board game called "HEX" as a platform to test different simulation strategies in MCTS field.
Tamago
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46
Computer go engine using Monte-Carlo Tree Search written in Python3.
Alpha Zero
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45
AlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm" by DeepMind.
Pydlgo
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36
基於深度學習的 GTP 圍棋(围棋)引擎,KGS 指引文件以及演算法教學。
Core
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27
[ACL 2023] Solving Math Word Problems via Cooperative Reasoning induced Language Models
Alphago Zero Gobang
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25
Meta-Zeta是一个基于强化学习的五子棋(Gobang)模型,主要用以了解AlphaGo Zero的运行原理的Demo,即神经网络是如何指导MCTS做出决策的,以及如何自我对弈学习。源码+教
Omega
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16
A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environments.
Pytamp
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16
Python robot's tamp library
Alphazero_gobang
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15
Deep Learning big homework of UCAS
Chappie.ai
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15
Generalized AI to perform a multitude of tasks written in python3
Janggi
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13
야매장기 - 알파고를 참고한 장기 AI
Sorts
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13
Code base for Social Robot Tree Search (SoRTS).
Ai_gomocup
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10
Here are some Python implementations of Gomoku AIs, including MCTS, Minimax and Genetic Alg.
Mcts Simple
⭐
10
mcts-simple is a Python3 library that allows reinforcement learning problems to be solved easily with its implementations of Monte Carlo Tree Search.
Mctsnet
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10
A PyTorch implementation of DeepMind's MCTSnet
Dopamax
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9
Reinforcement learning in pure JAX.
Gym Tictactoe Zero
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9
Tic Tac Toe with Alpha Zero method - My first work
Mcts Tic Tac Toe
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9
Monte Carlo Tree Search for tic tac toe
Chess
⭐
9
Program for playing chess in the console against AI or human opponents
Alphazero Gym
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8
AlphaZero for continuous control tasks
Hybridalpha
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7
HybridAlpha - a mix between AlphaGo Zero and AlphaZero for multiple games
Syn Interventions Algorithmic Recourse
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7
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis.
Alphacc_zero
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7
AlphaCC Zero: A Decision-Making Algorithm in Reinforcement Learning for Chinese Chess (SRTP)
Twixtbot Ui
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7
GUI on top of twixtbot
Cygo
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6
Cygo is Go AI has feature of like AlphaGo Fan
Autorecorder
⭐
6
自動でリコーダーを吹く予定
Poker Ai
⭐
5
Several agents that can play poker (using Deep CFR, probability, monte carlo, etc.) and clustering to get the types of poker players.
Alphazero_gomoku_wuziqi
⭐
5
My implementation of AlphaZero for gomoku (Wu Zi Qi, 五子棋); Poorman's AlphaZero
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1-38 of 38 search results
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