Abstract
We introduce The House Of inteRactions (THOR), a framework for visual AI research, available at <a href="http://ai2thor.allenai.org.">this http URL</a> 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.
Abstract (translated)
我们介绍了交互之家（thor），这是一个视觉人工智能研究的框架，可以在<a href=“http://ai2thor.allenai.org.”>上找到。这个http url</a>ai2-thor由近景逼真的3D室内场景组成，人工智能代理可以在场景中导航并与对象交互以执行任务。AI2-Thor可以在许多不同的领域进行研究，包括但不限于深度强化学习、模仿学习、交互学习、计划学习、视觉问题解答、无监督表示学习、目标检测和分割以及认知学习模型。AI2-Thor的目标是促进视觉智能模型的建立，并推动这一领域的研究。
URL
https://arxiv.org/abs/1712.05474
