Phase-Aware Mixture of Experts for Agentic Reinforcement Learning

Shengtian Yang, Yu Li, Shuo He +4

Reinforcement learning (RL) has equipped LLM agents with a strong ability to solve complex tasks. However, existing RL methods normally use a \emph{single} policy network, causing…