Learning to Steer LLM Agents and Multi-Agent Systems
This work proposes a steering agent that supervises execution on the fly and steers the system back on track when drift occurs, and jointly train the two paths with reinforcement learning, combining a pairwise ranking objective with group-relative policy optimization (GRPO).
Le-Yang Shen, Ya-Xin Gong, Yang Zhang et al.
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