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A new method called DecisionSteer trains a System-1 decision operator via behavior cloning using 330K parameters, matching a 1.33M-parameter reinforcement-learning-trained operator while collapsing 3,…

A 28 Sep 2026 arXiv paper introduces ProVer, a framework that targets potentially pivotal decisions for fine-grained credit assignment in agentic reinforcement learning, addressing what the authors ca…

Microsoft researchers developed SkillOpt, a method that treats AI agent skill files as trainable parameters outside frozen target models, enabling controlled optimization through bounded text edits an…