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AI2-THOR: An Interactive 3D Environment for Visual AI. (arXiv:1712.05474v4 [cs.CV] UPDATED)
Aug. 29, 2022, 1:11 a.m. | Eric Kolve, Roozbeh Mottaghi, Winson Han, Eli VanderBilt, Luca Weihs, Alvaro Herrasti, Matt Deitke, Kiana Ehsani, Daniel Gordon, Yuke Zhu, Aniruddha K
cs.LG updates on arXiv.org arxiv.org
We introduce The House Of inteRactions (THOR), a framework for visual AI
research, available at this http URL AI2-THOR consists of near
photo-realistic 3D indoor scenes, where AI agents can navigate in the scenes
and interact with objects to perform tasks. AI2-THOR enables research in many
different domains including but not limited to deep reinforcement learning,
imitation learning, learning by interaction, planning, visual question
answering, unsupervised representation learning, object detection and
segmentation, and learning models of cognition. The goal of …
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