SAT: Sequential Agent Tuning for Coordinator Free Plug and Play Multi-LLM Training with Monotonic Improvement Guarantees

Sequential Agent Tuning (SAT) introduces a coordinator-free training paradigm for teams of smaller, more efficient LLMs, enabling scalable, decentralized updates. This framework provides theoretical guarantees for monotonic improvement by isolating occupancy drift with per-agent KL trust regions.