AI Agent Architecture — ReAct, Memory, Planning and Multi-Agent Systems · ReAct — the Reasoning and Acting Loop
ReAct on decision-making tasks — ALFWorld and WebShop
ReAct — the Reasoning and Acting Loop
Introduction
Alongside knowledge-intensive tasks, the ReAct paper also tests interactive environments requiring sequences of decisions: ALFWorld — a household navigation environment where the agent must find and manipulate objects (text-based simulator based on the ALFRED benchmark), and WebShop — an e-commerce environment where the agent browses a website to purchase a product meeting a user specification. This lesson analyses the architecture of both environments, empirical results, specific error patterns, and the key to ReAct's high effectiveness in interactive sequential decision-making.