Learning to Steer LLM Agents and Multi-Agent Systems
Researchers train a reinforcement-learning steering agent that detects goal drift and corrects LLM agents during execution.
2 stories, newest first · one card per story
Researchers train a reinforcement-learning steering agent that detects goal drift and corrects LLM agents during execution.
Generalized Agent Iteration formally unifies iterative policy improvement and recursive self-improvement, defining axes that distinguish anchored, goal-drifting, and self-referential agents.
Today 1.6K readers · 2.4K views · 776 reads · all time 189K views