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A Schema Bounded Language Model for Refining Robot Policies Without Destabilizing Local Learning
This paper addresses navigation by composite heterogeneous robots in a decentralized system when policy reasoning and local control operate at different update levels. In a NetLogo--Python implementation, three robots share motion dynamics but use different LLM backends. Each robot independently com
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