ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
A text-game version of the ALFRED household task benchmark that lets agents practice in TextWorld, then transfer to embodied AI2-THOR.
- Publisher
- Microsoft Research
- Year
- 2021
- Venue
- ICLR
- Authors
- 6
- Hosting
- External sourcelicense unknown
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Introduces 2 artifacts - 1 eval, 1 tool
TL;DR
Semantic Scholar
ALFWorld, a simulator that enables agents to learn abstract, text-based policies in TextWorld and then execute goals from the ALFRED benchmark in a rich visual environment, enables the creation of a new BUTLER agent whose abstract knowledge corresponds directly to concrete, visually grounded actions.