World of Bits: An Open-Domain Platform for Web-Based Agents
Tianlin Shi , Andrej Karpathy , Linxi Fan , Jonathan Hernandez , Percy Liang
- 🏛 Institutions
- Stanford , OpenAI
- 📅 Date
- August 31, 2017
- 📑 Publisher
- ICML 2017
- 💻 Env
- Web
- 🔑 Keywords
TLDR
World of Bits is an open-domain web environment where agents observe rendered webpages and DOM structure, then act with low-level keyboard and mouse commands. The paper also defines a methodology for building reproducible web tasks from real websites, including MiniWoB and QAWoB.
Related papers (24)
- Navigating WebAI: Training Agents to Complete Web Tasks with Large Language Models and Reinforcement LearningMay 1, 2024 · SAC 2024
- Reinforcement Learning on Web Interfaces Using Workflow-Guided ExplorationFebruary 24, 2018 · ICLR 2018 (Poster)
- AndroidEnv: A Reinforcement Learning Platform for AndroidMay 27, 2021 · arXiv
- WebArena-Infinity: Generating Browser Environments with Verifiable Tasks at ScaleMarch 2026 · Blog Post
- WebFactory: Automated Compression of Foundational Language Intelligence into Grounded Web AgentsMarch 5, 2026 · arXiv
- OpAgent: Operator Agent for Web NavigationFebruary 14, 2026 · arXiv
- WebGym: Scaling Training Environments for Visual Web Agents with Realistic TasksJanuary 5, 2026 · arXiv
- WebServ: A Browser-Server Environment for Efficient Training of Reinforcement Learning-based Web Agents at ScaleOctober 17, 2025 · arXiv
- Thinking vs. Doing: Agents that Reason by Scaling Test-Time InteractionJune 9, 2025 · SEA @ NeurIPS 2025 (Oral)
- WebDancer: Towards Autonomous Information Seeking AgencyMay 28, 2025 · NeurIPS 2025 (Poster)
- WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement LearningMay 22, 2025 · EMNLP 2025 (Poster)
- GUI-R1: A Generalist R1-Style Vision-Language Action Model for GUI AgentsApril 14, 2025 · arXiv
- Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement LearningFebruary 11, 2025 · arXiv
- Proposer-Agent-Evaluator (PAE): Autonomous Skill Discovery For Foundation Model Internet AgentsDecember 17, 2024 · ICML 2025 (Poster)
- WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement LearningNovember 4, 2024 · ICLR 2025 (Poster)
- Agent Q: Advanced Reasoning and Learning for Autonomous AI AgentsAugust 13, 2024 · arXiv
- Grounded Language Agent for Product Search via Intelligent Web InteractionsApril 16, 2024 · CustomNLP4U @ NAACL 2024
- AutoWebGLM: A Large Language Model-based Web Navigating AgentApril 4, 2024 · KDD 2024
- WebArena: A Realistic Web Environment for Building Autonomous AgentsJuly 25, 2023 · ICLR 2024 (Poster)
- WebShop: Towards Scalable Real-World Web Interaction with Grounded Language AgentsJuly 31, 2022 · NeurIPS 2022
- GUI-C²: Coarse-to-Fine GUI Grounding via Difficulty-Aware Reinforcement LearningMay 29, 2026 · arXiv
- MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent ResearchMay 25, 2026 · arXiv
- LiteGUI: Distilling Compact GUI Agents with Reinforcement LearningMay 8, 2026 · arXiv
- ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI AgentsApril 13, 2026 · arXiv