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RE: LeoThread 2025-03-10 11:44

in LeoFinance3 days ago

Part 5/9:

The essence of the paper lies in the ability to reward AI agents based on the impact their communications have on other players' perceptions of the impostors. Agents receive feedback on how their assertions affect the beliefs of others, forming a secondary layer of reinforcement learning that rewards not only successful accusations but also effective communication:

  1. Clarity in Communication: Agents learn to discern how their messages either bolster or undermine the perceptions of fellow crewmates regarding the impostor's identity.

  2. Self-Play Mechanism: Leveraging self-play, agents engage repeatedly within the environment, refining their communication strategies to enhance logical reasoning and deduction skills.