Internalizing Agency from Reflective Experience

ArXi:2603.16843v1 Announce Type: new Large language models are increasingly deployed as autonomous agents that must plan, act, and recover from mistakes through long-horizon interaction with environments that provide rich feedback. However, prevailing outcome-driven post-