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label-aggregation

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bayesconsensus

Dawid-Skene consensus for multi-agent and multi-LLM disagreement: learn each agent's reliability and the true answer with calibrated confidence. Zero dependencies, node-free, TypeScript-first.

  • Updated Jun 24, 2026
  • TypeScript

Multi-Agent Reinforcement Learning framework for collaborative label aggregation on noisy classification datasets. Includes DQN agents, Gym-style environment, evaluation tools, and majority-voting baseline.

  • Updated Aug 3, 2025
  • Python

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