InfiniteWeb: Endless Practice Websites for Smarter GUI Agents

Kari Jaaskelainen

08 Jan 2026 — 1 min read

InfiniteWeb: Endless Practice Websites for Smarter GUI Agents

What if AI helpers could rehearse tasks on thousands of realistic websites before helping you? InfiniteWeb makes that possible by automatically building full, functional web environments for training GUI agents.

Problem: real training sites are scarce, and single-page demos don't teach agents complex, multi-step browsing.
Solution: synthesize multi-page, interconnected sites at scale.
How it works: a unified spec, task-centric test-driven development, and seeding with real site structures plus reference design images to boost diversity.
Built-in evaluators: verifiable task checkers provide dense reward signals for reinforcement learning.
Results: outperforms commercial coding agents at realistic site construction; agents trained on InfiniteWeb show strong gains on OSWorld and Online-Mind2Web benchmarks.

By Ziyun Zhang, Zezhou Wang, Xiaoyi Zhang, Zongyu Guo, Jiahao Li, Bin Li, and Yan Lu. Read more: https://arxiv.org/abs/2601.04126v1

Paper: https://arxiv.org/abs/2601.04126v1

Register: https://www.AiFeta.com

#AI #Agents #ReinforcementLearning #WebAutomation #GUI #LLM #MachineLearning #HCI

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