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Feedback That Backfires in Games: Do LLM Players Repeat the Move They Just Watched Fail?

arXiv:2610.30205v1 Announce Type: new Abstract: When an LLM agent's move fails, the harness writes the move and the failure message into the transcript and asks again. In tool calling, this record makes small models more likely to repeat the failed action. We test whether the same holds in games (S…

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  1. 2026-10-23 04:00 · arXiv cs.AI
    Feedback That Backfires in Games: Do LLM Players Repeat the Move They Just Watched Fail?

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