When Agents Learn Without Learning: Test-Time Reinforcement Comes of Age
Opening — Why this matters now Multi-agent LLM systems are having a moment. From collaborative coding bots to diagnostic committees and AI tutors, orchestration is increasingly the default answer to hard reasoning problems. But there’s an inconvenient truth hiding behind the demos: training multi-agent systems with reinforcement learning is expensive, unstable, and often counterproductive. ...