AI2-THOR: An Interactive 3D Environment for Visual AI
On the map: World models → Video-generation world models and simulators
Abstract (arXiv)
We introduce The House Of inteRactions (THOR), a framework for visual AI research, available at http://ai2thor.allenai.org. 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 AI2-THOR is to facilitate building visually intelligent models and push the research forward in this domain.
Key facts. Cited by 869 papers in the map (data through 14 Oct 2026). Placed in Video-generation world models and simulators, one of 11 directions in World models. Builds on 2 of its 29 references that are in the map. First posted on arXiv 14 Dec 2017.
Builds on
2 of 29 references.
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Other references · 1
- 2017CARLA: An Open Urban Driving Simulatorcited by 2,449
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Citing papers per year: 2018: 2; 2019: 1; 2020: 4; 2021: 102; 2022: 110; 2023: 128; 2024: 154; 2025: 181; 2026: 187.
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