research
∙
06/14/2022
ProcTHOR: Large-Scale Embodied AI Using Procedural Generation
Massive datasets and high-capacity models have driven many recent advanc...
share
research
∙
02/04/2022
Webly Supervised Concept Expansion for General Purpose Vision Models
General purpose vision (GPV) systems are models that are designed to sol...
research
∙
12/01/2021
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text
Communicating with humans is challenging for AIs because it requires a s...
research
∙
04/22/2021
ManipulaTHOR: A Framework for Visual Object Manipulation
The domain of Embodied AI has recently witnessed substantial progress, p...
research
∙
07/09/2020
A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks
Autonomous agents must learn to collaborate. It is not scalable to devel...
research
∙
04/14/2020
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
Visual recognition ecosystems (e.g. ImageNet, Pascal, COCO) have undenia...
research
∙
12/17/2019
Artificial Agents Learn Flexible Visual Representations by Playing a Hiding Game
The ubiquity of embodied gameplay, observed in a wide variety of animal ...
research
∙
04/11/2019
Two Body Problem: Collaborative Visual Task Completion
Collaboration is a necessary skill to perform tasks that are beyond one ...
research
∙
12/14/2017
AI2-THOR: An Interactive 3D Environment for Visual AI
We introduce The House Of inteRactions (THOR), a framework for visual AI...
research
∙
05/23/2017
Visual Semantic Planning using Deep Successor Representations
A crucial capability of real-world intelligent agents is their ability t...
research
∙
09/16/2016
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning
Two less addressed issues of deep reinforcement learning are (1) lack of...
research
∙
03/24/2016