Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillationand Agentic RL

This research introduces Chain-of-Agents, an end-to-end framework for developing agent foundation models. It leverages multi-agent distillation and agentic reinforcement learning to enhance AI agent capabilities.