MARINE: Optimizing Multi-Agent Recursive In-Context Learning

The paper, available on ArXiv, presents a theoretical framework for optimizing multi-agent systems using recursive in-context learning. This approach aims to enhance performance and design for complex agent interactions.

• •Focuses on multi-agent systems.
• •Utilizes recursive in-context learning.
• •Published on ArXiv, indicating early-stage research.