MiniWoB++

Over 100 web-interaction environments extending OpenAI's MiniWoB, controlled from Python through a Gymnasium API that drives the browser with Selenium.

AI-assisted editorial review against a primary source. This is a catalog annotation, not an independent reproduction or endorsement.

What is this resource?

Resource type

Benchmarks

Environment

web

Topics

evaluation, reinforcement-learning

Record publication date

Not recorded

Evidence retrieved

2026-10-16T06:40:54Z

Resource ID

github:farama-foundation/miniwob-plusplus

What licenses are recorded?

Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.

Code

MIT (repository LICENSE header; not a weights/data license)

Data

Not recorded

Document

Not recorded

Weights

Not recorded

Evaluation protocol

Focus

small web interaction tasks

Setting

interactive

Observations

task instructions, screenshots, visible DOM-element attributes

Actions / outputs

configurable coordinate actions, element-reference actions, keyboard input

Evaluation

Not recorded

Scale and counting units

• > 100 web environments — README collection size source

The README gives a lower bound, not an exact active-environment inventory. Action presets expose different capabilities, so comparisons must identify the preset. Environment-specific reward details are not normalized here. The repository is in maintenance mode.

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Scope and limitations

The maintainer README identifies MiniWoB++ as the extension introduced in the 2018 workflow-guided exploration paper. It separately links World of Bits as the source for the original MiniWoB predecessor. The current Farama interface, environment inventory, and maintenance status belong to the retained repository snapshot.

Related resources

• introduced by: Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration

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 2026-10-16T06:40:54Z. Supports: name, kind, summary, environments, topics, scope, relations, details.

   Content fingerprint

   90499776fa1b23e08ac85190ad3be709caa9172ff4f2a0a106b0fa350568e86f
2. editorial primary review

   Retrieved 2026-10-16T06:40:54Z. Supports: details.benchmark_protocol, relations, notes.

   Content fingerprint

   90499776fa1b23e08ac85190ad3be709caa9172ff4f2a0a106b0fa350568e86f
3. editorial primary review

   Retrieved 2026-10-17T02:03:23Z. Supports: details.benchmark_protocol.

   Content fingerprint

   511039e0e3c26b117e7e0a001746c26ec6d94a8ab8c467f0be0bc1a0b01e870a
4. editorial primary review

   Retrieved 2026-10-17T02:03:23Z. Supports: details.benchmark_protocol.

   Content fingerprint

   ae7bf6a3b98b198b985d7ca7b41cb2bdab3cf48e6445467ad9a8d4a2c8df240f
5. license header

   Retrieved 2026-10-16T06:42:07Z. Supports: licenses.code.

   Content fingerprint

   fd6529fb8f648d4130fd969e3d7fc740c9992a0bd94a1998f52555a873311511

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