EP294: Why AI agents second-guess their success

Title: Closing the Reflection Gap: A Free Calibration Bonus for Agentic RLSource: http://arxiv.org/abs/2606.14211v1Summary:It introduces RefGRPO, a novel reinforcement learning algorithm that utilizes environment feedback to calibrate an agent's self-reflection without additional reward models. This framework creates a grounded reasoning loop that allows agents to serve as their own verifiers, significantly boosting task accuracy and reliability.