EvoBelief: Falsifiable World Models for Self-Improving LLM Agents
arXiv:2610.12789v1 Announce Type: new Abstract: Self-evolving LLM agents typically improve how they act through accumulated experience, reflection, or skills. Yet even procedurally capable agents can fail when their beliefs about environment dynamics are incomplete, incorrect,…
- 01.arXiv:2610.12789v1 Announce Type: new Abstract: Self-evolving LLM agents typically improve how they act through accumulated experience, reflection, or skills
- 02.Yet even procedurally capable agents can fail when their beliefs about environment dynamics are incomplete, incorrect,…
This material is provided as an extended analytical summary.
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