Maestro: Reinforcement Learning to Orchestrate Hierarchical Model-Skill Ensembles

要約

The proliferation of large language models (LLMs) and modular skills has endowed autonomous agents with increasingly powerful capabilities. Existing frameworks typically rely on monolithic LLMs and fixed logic to interface with these skills. This gives rise to a critical bottleneck: different LLMs o…