ALFWorld
Aligning Text and Embodied Environments for Interactive Learning
| Mohit Shridhar | Xingdi (Eric) Yuan | Marc-Alexandre Côté |
| Yonatan Bisk | Adam Trischler | Matthew Hausknecht |
ALFWorld contains interactive TextWorld environments (Côté et. al) that parallel embodied worlds in the ALFRED dataset (Shridhar et. al). The aligned environments allow agents to reason and learn high-level policies in an abstract space before solving embodied tasks through low-level actuation.
Paper on ArXiv» GitHub» ALFRED» TextWorld»
You are in the middle of a room. Looking quickly around you, you see a drawer 2, a shelf 5, a drawer 1, a shelf 4, a sidetable 1, a drawer 5, a shelf 6, a shelf 1, a shelf 9, a cabinet 2, a sofa 1, a cabinet 1, a shelf 3, a cabinet 3, a drawer 3, a shelf 11, a shelf 2, a shelf 10, a dresser 1, a shelf 12, a garbagecan 1, a armchair 1, a cabinet 4, a shelf 7, a shelf 8, a safe 1, and a drawer 4.
Your task is to: put some vase in safe.
> go to shelf 6
You arrive at loc 4. On the shelf 6, you see a vase 2.
> take vase 2 from shelf 6
You pick up the vase 2 from the shelf 6.
> go to safe 1
You arrive at loc 3. The safe 1 is closed.
> open safe 1
You open the safe 1. The safe 1 is open. In it, you see a keychain 3.
> put vase 2 in/on safe 1
You won!
