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Easycaro
easycaro.github.io
KSH-AI :)
AI Human Start Game ! Gomoku, also called Gobang or Five in a Row, is an abstract strategy board game. It is traditionally played with Go pieces (black and white stones) on a Go board, using 15×15 of the 19×19 grid intersections. Because pieces are not moved or removed from the board, Gomoku ...
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GitHub
github.com › X3B0A1 › A-simple-Gobang-AI
GitHub - X3B0A1/A-simple-Gobang-AI
It's just a direction in artificial intelligence, which shows that machines can do some things instead of people. And go is a game that pays attention to intelligence, so it is very difficult to realize.
Author   X3B0A1
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GitHub
github.com › falwat › gobang
GitHub - falwat/gobang: gobang with python. · GitHub
All AI algorithms should inherit from the agent.Agent class, refer to random_Agent.RandomAgent class and minimax.minimax class design. Then add your AI algorithm to the player_agents list in gobang.py.
Author   falwat
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GitHub
github.com › holidaysss › AI-Gobang
GitHub - holidaysss/AI-Gobang: AI五子棋小程序
AI五子棋小程序. Contribute to holidaysss/AI-Gobang development by creating an account on GitHub.
Starred by 7 users
Forked by 3 users
Languages   JavaScript 100.0% | JavaScript 100.0%
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GitHub
github.com › jidasheng › gobang
GitHub - jidasheng/gobang: A Gobang(also known as "Five in a Row" and "Gomoku") game equipped with AlphaGo-liked AI. · GitHub
A Gobang(also known as "Five in a Row" and "Gomoku") game equipped with AlphaGo-liked AI. - jidasheng/gobang
Author   jidasheng
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GitHub
github.com › xuxian73 › gobang_AI
GitHub - xuxian73/gobang_AI: A trivial gobang AI based on minimax search algorithm, alpha-beta pruning algorithm and heuristic search algorithm · GitHub
A trivial gobang AI (with a rule that white can change all chess color in the second round) based on minimax search algorithm, alpha-beta pruning algorithm and heuristic search algorithm. The AI part of this ai can be found in src/gobang/gobang/code.cpp.
Author   xuxian73
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GitHub
github.com › jasonleaster › GoBang
GitHub - jasonleaster/GoBang: GoBang Game in Javascript with native AI · GitHub
GoBang Game in Javascript with native AI. Contribute to jasonleaster/GoBang development by creating an account on GitHub.
Author   jasonleaster
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GitHub
github.com › lihongxun945 › gobang
GitHub - lihongxun945/gobang: javascript gobang AI,JS五子棋AI,源码+教程,基于Alpha-Beta剪枝算法(不是神经网络)
极小化极大算法的五子棋AI实现。 扫描上方二维码,或者打开此页面可以直接体验 https://gobang2.light7.cn/ 如果 http 协议无法打开,可以用这个http的链接 http://gobang2.light7.cn/
Starred by 1.8K users
Forked by 394 users
Languages   JavaScript 96.4% | CSS 2.2% | HTML 1.4%
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GitHub
github.com › VizXu › Gobang
GitHub - VizXu/Gobang: An AI core code for Gobang Game that one can use it to develop PVE
Gobang AI is a daemon server and client connect the server with specific format to set chessman or get chessboard information from server, the client could be called by Qt, Python UI or other UI libs or tools, so one who is tending to develop ...
Author   VizXu
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GitHub
github.com › GusAlejandro › Gobang-AI
GitHub - GusAlejandro/Gobang-AI: AI project for CS165B. Using adversarial search to create an AI opponent for the game gobang.
AI project for CS165B. Using adversarial search to create an AI opponent for the game gobang. To run the program simply use python Gobang.py -n ${BoardSize} , replace ${BoardSize} with the size you wish to play on (max 25).
Author   GusAlejandro
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GitHub
github.com › topics › gobang
gobang · GitHub Topics · GitHub
AlphaGo-Zero-Gobang 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+教程 · gui ai deep-learning tensorflow mcts residual-networks gobang alphago alphazero gomuku
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OpenAgentSkill
openagentskill.com › skills › tako8ki-gobang
Gobang - AI Agent Skill | Open Agent Skill
3 weeks ago - A cross-platform TUI database management tool written in Rust 3.3K GitHub stars. Install with npx skills add TaKO8Ki/gobang.
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GitHub
github.com › Jolllly-bot › Gobang
GitHub - Jolllly-bot/Gobang: A Gobang AI using minmax algorithm, Alpha-beta pruning and kill count written in C
A Gobang AI using minmax algorithm, Alpha-beta pruning and kill count written in C - Jolllly-bot/Gobang
Author   Jolllly-bot
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FreshPorts
freshports.org › games › gobang
FreshPorts -- games/gobang: This is a Gobang game that runs in the console
This is a console-based Gobang (Five in a Row) game program. It provides a 15x15 board, supports player vs AI gameplay with different difficulty levels for the AI. The game implements an AI decision-making system based on the minimax algorithm, featuring core game logic such as board evaluation ...
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GitHub
github.com › ele828 › gobang-ai
GitHub - ele828/gobang-ai: Gobang game AI implementation.
Gobang game AI implementation. Contribute to ele828/gobang-ai development by creating an account on GitHub.
Author   ele828
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Lichengunc
lichengunc.github.io › papers › gobang_report.pdf pdf
Gobang Licheng Yu Department of Computer Science
implement an android app – Gobang. It has two features. The first · feature is supporting two players playing against each other. The · second feature is supporting one player playing against artificial · intelligence (AI).
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SciSpace
scispace.com › pdf › an-efficient-approach-for-the-implementation-of-the-gobang-6qhr4lr7.pdf pdf
an-efficient-approach-for-the-implementation- ...
with faster and more efficient play than existing ones that will solve the Gobang game using · artificial intelligence (AI) methods.
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arXiv
arxiv.org › html › 2510.11503v1
People use fast, flat goal-directed simulation to reason about novel problems
October 13, 2025 - Human-centred mechanism design with democratic ai. Nature Human Behaviour, 6(10):1398–1407, 2022. Kuperwajs et al. (2024) I. Kuperwajs, M. K. Ho, and W. J. Ma. Heuristics for meta-planning from a normative model of information search. Planning, 1:a2, 2024. Laudan (1978) L. Laudan. Progress and its problems: Towards a theory of scientific growth, volume 282. Univ of California Press, 1978. Li (2025) H. Li. gobang: JavaScript Gobang AI based on Alpha-Beta Pruning.
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ScienceDirect
sciencedirect.com › science › article › abs › pii › S095070512201303X
Exploring the first-move balance point of Go-Moku based on reinforcement learning and Monte Carlo tree search - ScienceDirect
December 15, 2022 - Finally, the collected game data and win–loss information are used to train a strategy value network, and the optimized network model is then used for MCTS to generate better quality self-playing data, constituting a cycle. Through experiments, we obtained a very powerful Gobang AI and found the first balance points on different size boards.