Weak-for-Strong (W4S): A Novel Reinforcement Learning Algorithm that Trains a weak Meta Agent to Design Agentic Workflows with Stronger LLMs | Insights by Willow Ventures
Introduction to Weak-for-Strong Harnessing (W4S) in Reinforcement Learning In recent advancements in artificial intelligence, researchers from Stanford, EPFL, and UNC have introduced the Weak-for-Strong Harnessing (W4S) framework. This innovative approach in Reinforcement Learning (RL) enables a lightweight meta-agent to design and optimize code workflows that leverage more potent executor models. What is Weak-for-Strong Harnessing (W4S)? […]
