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Study on Coding Agents Automatically Designing Robot Spatial Memory: Codex / GPT-6 Astra Five-Track Average Improves 50.9% Over ReMEmbR

The arXiv paper "Spatial Memory by Agents, for Agents" investigates letting coding agents automatically design robot spatial memory: under a fixed development budget, a Designer Agent writes and iteratively revises memory construction and retrieval code, with feedback from a fixed Query Agent; the resulting implementations are frozen and then used to build memory from held-out observation histories for evaluation.

Part of the event: Paper proposes using coding agents to automatically design robot spatial memory

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