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COUNTERMEM: World-Model Verified Counter-Factual Memory for Language Agents

arXiv:2609.31874v1 Announce Type: new Abstract: Existing agent memory frameworks mainly create memory through an agent's interaction with the factual world, e.g., remembering feedback from actions taken to improve performance on future tasks. However, these frameworks seldom ask the "what if" quest…

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  1. 2026-09-29 04:00 · arXiv cs.AI
    COUNTERMEM: World-Model Verified Counter-Factual Memory for Language Agents

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