# What Does Multi-Turn Reinforcement Learning Really Improve in LLM Agents?

> Source: <https://aiflash.com/news/145940/>
> Published: 2026-11-05 07:00:52+00:00

While multi-turn agentic reinforcement learning (RL) excels on long-horizon tasks, its performance gains remain highly sensitive to interaction constraints. Evaluating across sampling breadth K and interaction depth T via Pass@(K,T), we show that trajectory-level RL advantages depend on sufficient t