Google researchers introduce Supervised Reinforcement Learning (SRL), a training framework that enables 7B parameter models to achieve better multi-step reasoning by providing step-wise reward signals based on expert action similarity rather than token-by-token imitation.

“Author of "Google Researchers Show SRL Gives 7B Models Better Structured Reasoning by Rewar" on arXiv”

AI ResearchReinforcement LearningLLMsFoundation Models

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SkillOS: Learning Skill Curation for Self-Evolving Agents

UIUC, Google, and other institutionspositiveMay 10, 2026

“Co-author of SkillOS paper on learning skill curation for self-evolving LLM agents.”