Self-Evolving Multi-Agent Systems with Hierarchical Memory

Published in Under Review, 2025

This work presents a self-evolving multi-agent system that leverages hierarchical memory structures for continuous strategy improvement. Through multi-round reinforcement learning interactions and structured experience replay, agents autonomously enhance their collaborative and individual capabilities over time.