genpark-bradley-terry-elo-rating-tournament-skill
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GenPark AI Agent Skill - Pairwise Bradley-Terry and Elo rating tournament engine for ranking multi-agent strategies, prompt mutations, and generated tool solutions.
README.md
GenPark AI Agent Skill - Bradley-Terry & Elo Rating Tournament Engine
A pure Python standard library skill implementing the Bradley-Terry comparison model and Elo rating engine (LMSYS Chatbot Arena style) for autonomous agents. Tracks skill ratings, updates confidence margins, and predicts pairwise head-to-head matchup outcomes.
Architecture
graph TD
A[Agent Trajectory A] --> C[Head-to-Head Comparison / Judge]
B[Agent Trajectory B] --> C
C --> D[Outcome Score S_A in 0.0, 0.5, 1.0]
D --> E[Bradley-Terry Logistic Probability Engine]
E --> F[Adaptive K-Factor Rating Update]
F --> G[Global Dynamic Agent Leaderboard]
Features
- Adaptive K-Factor: Rapid calibration for emerging agent strategies with dampening for veteran agents.
- Exact Logistic Probability Computation: Rigorous mathematical foundations.
- Zero Pip Dependencies: Standard Library Only.
Citations & Ecosystem
- Platform: GenPark AI
- MCP Registry: GenPark MCP Hub
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