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.
翻译:我们引入了Intractions House of Intractions(THOR),这是一个视觉AI研究框架,可在以下网址查阅:http://ai2thor.allenai.org。AI2-THOR由近光现实的 3D 室内场景组成,该场景使AI代理人员可以在场景中导航并与物体互动以执行任务。AI2-THOR使许多不同领域的研究得以进行,包括但不限于深强化学习、模仿学习、通过互动学习、规划、视觉问题回答、不受监督的演示学习、物体探测和分割以及认知学习模式。AI2-THOR的目标是促进建立视觉智能模型,推动该领域的研究。