Discriminative World Models for Web Agents
By Kelvin Li · Paper · cs.AI
Recent web agents use world models for test-time action selection by sampling candidate actions, predicting the resulting web states, and ranking them with a ranker model or a Process Reward Model (PRM). These world models are typically trained via supervised next-state predictio
Tags: Cs.ai