Research papers

World of Bits: An Open-Domain Platform for Web-Based Agents

Introduces World of Bits, a web-task platform combining human demonstrations, keyboard and mouse actions, and cached HTTP traffic for repeatable task environments. It evaluates agents trained through behavioral cloning and reinforcement learning.

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What is this resource?

Resource type
Research papers
Environment
web
Topics
web-navigation, reinforcement-learning, evaluation, data-generation
Record publication date
2017-07-17
Evidence retrieved
2026-10-17T09:53:21Z
Resource ID
url:52a3261eb6a19b402e88

Authors

Tianlin Shi, Andrej Karpathy, Linxi Fan, Jonathan Hernandez, Percy Liang

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Publication record

Title
World of Bits: An Open-Domain Platform for Web-Based Agents
Authors
Tianlin Shi, Andrej Karpathy, Linxi Fan, Jonathan Hernandez, Percy Liang
Publication date (recorded precision)
2017-07-17
Venue
Proceedings of the 34th International Conference on Machine Learning
Publisher
PMLR
Series
Proceedings of Machine Learning Research
Volume
70
Pages
3135-3144

Publication source ↗ · Publisher or author PDF ↗

Publication BibTeX · Publication CSL JSON

Date source: Publisher citation_publication_date metadata explicitly states 2017/07/17; this is separate from the conference interval.

Event dates (not substituted for publication): 06--11 Aug (conference interval reported in the publisher BibTeX month field)

Source notes: Publisher citation uses Tianlin Shi and Linxi Fan; the PDF also prints the nicknames Tim and Jim. The ordered publisher author names are retained. DOI not supplied in the retained publisher citation. Publisher metadata supplies the publication date separately from the conference interval.

Explore related topics

Web navigationReinforcement learningEvaluationData generation

Scope and limitations

The annotation was reviewed against retained primary publication sources. Experiments have not been independently reproduced. Publisher citation uses Tianlin Shi and Linxi Fan; the PDF also prints the nicknames Tim and Jim. The ordered publisher author names are retained.

Primary evidence and verification

Source retrieval is separate from experiment reproduction. Use the original publication or publisher page when citing claims about the resource.

  1. editorial primary review

    Retrieved 2026-10-17T09:53:21Z. Supports: details.publication.authors, details.publication.date_basis, details.publication.date_parts, details.publication.event_dates, details.publication.identity_basis, details.publication.notes, details.publication.pages, details.publication.publisher, details.publication.series, details.publication.title, details.publication.type, details.publication.url, details.publication.venue, details.publication.volume.

    Content fingerprint749d2a150e4c2bcde1b219a0ecb86c95546134a057892544e8495b5e45323c44
  2. editorial primary review

    Retrieved 2026-10-17T09:54:39Z. Supports: details.publication.notes, details.publication.pdf_url.

    Content fingerprint087008efb9d056df5fd9fbc724413d6a3f20cb14c7f1597d00bacac53d8342d6
  3. editorial primary review

    Retrieved 2026-10-17T09:53:21Z. Supports: details.publication.authors, details.publication.date_basis, details.publication.date_parts, details.publication.identity_basis, details.publication.notes, details.publication.pages, details.publication.series, details.publication.title, details.publication.type, details.publication.url, details.publication.venue, details.publication.volume, kind, name, scope, summary, topics.

    Content fingerprint749d2a150e4c2bcde1b219a0ecb86c95546134a057892544e8495b5e45323c44
  4. editorial primary review

    Retrieved 2026-10-17T09:54:39Z. Supports: details.publication.notes, details.publication.pdf_url, environments.

    Content fingerprint087008efb9d056df5fd9fbc724413d6a3f20cb14c7f1597d00bacac53d8342d6

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