autonomous-agent-gaming
OfficialBuild AI game-playing agents.
Authorqodex-ai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a comprehensive toolkit for developing autonomous agents capable of playing complex games, from simple board games to more intricate video games.
Core Features & Use Cases
- Diverse Agent Architectures: Implement rule-based, minimax, MCTS, and reinforcement learning agents.
- Game Environment Integration: Supports custom environments, OpenAI Gym, and chess engines.
- Strategy Development: Utilize opening books, endgame tablebases, and adaptive strategies.
- Performance Optimization: Includes tools for transposition tables, parallel search, and benchmarking.
- Use Case: Develop an AI agent to play chess, train a reinforcement learning agent to master a simple game, or analyze game theory strategies.
Quick Start
Run the minimax agent with a maximum depth of 6 by typing python examples/minimax_agent.py.
Dependency Matrix
Required Modules
python-chesspygamenumpygym
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: autonomous-agent-gaming Download link: https://github.com/qodex-ai/ai-agent-skills/archive/main.zip#autonomous-agent-gaming Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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