RESEARCHMonitorWATCHLIST
Learning Multi-Agent Orchestration:Higher-Order Interactions in Policy Improvement
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Researchers propose addressing multi-agent orchestration credit assignment failures caused by interdependent decisions in LLM systems.
Inspect the evidence
- Inclusion basis
- AI in finance
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 6 November 2026
- Collected by OneBench
- 7 Nov 2026, 02:02 UK
Stored source excerpt
arXiv:2611.07495v1 Announce Type: new Abstract: Learned orchestration has emerged as a promising paradigm for large language model (LLM)-based multi-agent systems, in which a central orchestrator…
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