StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction

概要

arXiv:2605.06642v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used as interactive agents, but optimizing them for long-horizon decision making remains difficult because current methods are largely purely reactive, which weakens both exploration and credit assignmen…