Model What Matters: Decision-Guided Selective World Modeling for Language Agents.

arXiv:2610.19642v1 Announce Type: new Abstract: Reinforcement learning provides a direct mechanism for optimizing task objectives in large language model-driven agents, but task rewards are typically sparse trajectory-level signals that only evaluate task succ