RELIC: Revealed Principles for Learning Interpretable Composable Skills in Multi-Agent Planning
3.00T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2607.16745.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryRELIC is a framework for privacy-preserving multi-agent planning. Each agent privately refines programmatic skills via LLM-guided search; a trusted orchestrator evaluates proposed updates using only team-level performance. Successful behaviors are abstracted into portable principles that other agents instantiate within their own interfaces, separating coordination from implementation sharing.
Why it mattersConcrete architectural pattern for multi-agent LLM coordination under privacy constraints. The principle-based abstraction layer is a reusable design idea for heterogeneous agent systems.
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