arXiv Machine Learning June 3, 2026 By Sangeun Park, Minhae Kwon

Multi$^2$: Hierarchical Multi-Agent Decision-Making with LLM-Based Agents in Interactive Environments

Read the original on arXiv Machine Learning →

arXiv:2606. 03698v1 Announce Type: new Abstract: A central goal of large language model (LLM) research is to build agentic systems that can plan, act, and adapt through sustained interaction with dynamic environments.

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