Gomoku Battle

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Gomoku Battle is an open-source Python framework that enables developers to create, test, and evaluate AI agents competing in Gomoku games. It offers a customizable game engine, standardized agent protocol, tournament manager, detailed logging, and sample bot implementations using algorithms like Minimax and Monte Carlo Tree Search. The platform supports head-to-head matches, league tournaments, and exportable battle reports for performance analysis.
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May 09 2025
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Gomoku Battle

Gomoku Battle

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Gomoku Battle
Gomoku Battle is an open-source Python framework that enables developers to create, test, and evaluate AI agents competing in Gomoku games. It offers a customizable game engine, standardized agent protocol, tournament manager, detailed logging, and sample bot implementations using algorithms like Minimax and Monte Carlo Tree Search. The platform supports head-to-head matches, league tournaments, and exportable battle reports for performance analysis.
Added on:
Social & Email:
Platform:
May 09 2025
--
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What is Gomoku Battle?

At its core, Gomoku Battle provides a robust simulation environment where AI agents adhere to a JSON-based protocol to receive board state updates and submit move decisions. Developers can integrate custom strategies by implementing simple Python interfaces, leveraging provided sample bots for reference. The built-in tournament manager automates scheduling of round-robin and elimination matches, while detailed logs capture metrics like win rates, move times, and game histories. Outputs can be exported as CSV or JSON for further statistical analysis. The framework supports parallel execution to accelerate large-scale experiments and can be extended to include custom rule variations or training pipelines, making it ideal for research, education, and competitive AI development.

Who will use Gomoku Battle?

  • AI researchers and developers
  • Students studying game AI
  • Hobbyists building board game bots
  • Competition organizers and educators

How to use the Gomoku Battle?

  • Step1: Clone the repository from GitHub and navigate into the project folder.
  • Step2: Install dependencies with pip install -r requirements.txt.
  • Step3: Implement your custom AI agent by extending the provided Agent interface.
  • Step4: Register your agent in the config file or battle manager script.
  • Step5: Run battles or tournaments using battle_manager.py with desired settings.
  • Step6: Review generated logs and reports in the logs/ directory for analysis.

Platform

  • mac
  • windows
  • linux

Gomoku Battle's Core Features & Benefits

The Core Features

  • JSON-based agent protocol
  • Customizable game engine
  • Tournament manager for round-robin and elimination matches
  • Detailed logging of moves and metrics
  • Sample bots with Minimax and Monte Carlo Tree Search

The Benefits

  • Rapid prototyping of game AI
  • Reproducible benchmarking
  • Extensible architecture for custom rules
  • Parallel execution for large-scale testing
  • Exportable results for statistical analysis

Gomoku Battle's Main Use Cases & Applications

  • Benchmarking new Gomoku AI algorithms
  • Educational projects on game theory and AI
  • Hosting AI competitions and tournaments
  • Comparing performance of search strategies

FAQs of Gomoku Battle

Gomoku Battle Company Information

Gomoku Battle Reviews

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Gomoku Battle's Main Competitors and alternatives?

  • OpenSpiel Gomoku Environment
  • Gomocup Competition Framework
  • AlphaZero-style Board Game Platforms

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