AIBullisharXiv – CS AI · 6h ago7/10
🧠
Recursive Agent Optimization
Researchers introduce Recursive Agent Optimization (RAO), a reinforcement learning method enabling AI agents to spawn and delegate tasks to themselves recursively. This approach allows agents to handle longer contexts, solve harder problems through divide-and-conquer strategies, and achieve better training efficiency with reduced computational time.