CHALET: Cornell House Agent Learning Environment
2018-01-23Code Available0· sign in to hype
Claudia Yan, Dipendra Misra, Andrew Bennnett, Aaron Walsman, Yonatan Bisk, Yoav Artzi
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/lil-lab/chaletOfficialIn papernone★ 47
- github.com/clic-lab/chaletOfficialIn papernone★ 0
Abstract
We present CHALET, a 3D house simulator with support for navigation and manipulation. CHALET includes 58 rooms and 10 house configuration, and allows to easily create new house and room layouts. CHALET supports a range of common household activities, including moving objects, toggling appliances, and placing objects inside closeable containers. The environment and actions available are designed to create a challenging domain to train and evaluate autonomous agents, including for tasks that combine language, vision, and planning in a dynamic environment.