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04/24/2023
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics
A common assumption when training embodied agents is that the impact of ...
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12/15/2022
Objaverse: A Universe of Annotated 3D Objects
Massive data corpora like WebText, Wikipedia, Conceptual Captions, WebIm...
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12/08/2022
Phone2Proc: Bringing Robust Robots Into Our Chaotic World
Training embodied agents in simulation has become mainstream for the emb...
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12/01/2022
A General Purpose Supervisory Signal for Embodied Agents
Training effective embodied AI agents often involves manual reward engin...
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11/18/2022
Ask4Help: Learning to Leverage an Expert for Embodied Tasks
Embodied AI agents continue to become more capable every year with the a...
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06/14/2022
ProcTHOR: Large-Scale Embodied AI Using Procedural Generation
Massive datasets and high-capacity models have driven many recent advanc...
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01/12/2022
Half-Trek Criterion for Identifiability of Latent Variable Models
We consider linear structural equation models with latent variables and ...
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01/02/2022
The Introspective Agent: Interdependence of Strategy, Physiology, and Sensing for Embodied Agents
The last few years have witnessed substantial progress in the field of e...
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12/17/2021
Towards Disturbance-Free Visual Mobile Manipulation
Embodied AI has shown promising results on an abundance of robotic tasks...
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11/18/2021
Simple but Effective: CLIP Embeddings for Embodied AI
Contrastive language image pretraining (CLIP) encoders have been shown t...
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04/28/2021
Pushing it out of the Way: Interactive Visual Navigation
We have observed significant progress in visual navigation for embodied ...
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04/22/2021
ManipulaTHOR: A Framework for Visual Object Manipulation
The domain of Embodied AI has recently witnessed substantial progress, p...
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04/14/2021
GridToPix: Training Embodied Agents with Minimal Supervision
While deep reinforcement learning (RL) promises freedom from hand-labele...
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03/30/2021
Visual Room Rearrangement
There has been a significant recent progress in the field of Embodied AI...
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08/28/2020
AllenAct: A Framework for Embodied AI Research
The domain of Embodied AI, in which agents learn to complete tasks throu...
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07/23/2020
Bridging the Imitation Gap by Adaptive Insubordination
Why do agents often obtain better reinforcement learning policies when i...
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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...
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04/14/2020
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
Visual recognition ecosystems (e.g. ImageNet, Pascal, COCO) have undenia...
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03/26/2020
Grounded Situation Recognition
We introduce Grounded Situation Recognition (GSR), a task that requires ...
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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 ...
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12/04/2019
Visual Reaction: Learning to Play Catch with Your Drone
In this paper we address the problem of visual reaction: the task of int...
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06/19/2019
Gender trends in computer science authorship
A comprehensive and up-to-date analysis of Computer Science literature (...
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04/11/2019
Two Body Problem: Collaborative Visual Task Completion
Collaboration is a necessary skill to perform tasks that are beyond one ...
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07/19/2018
Nested Covariance Determinants and Restricted Trek Separation in Gaussian Graphical Models
Directed graphical models specify noisy functional relationships among a...
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08/18/2017
Symmetric Rank Covariances: a Generalised Framework for Nonparametric Measures of Dependence
The need to test whether two random vectors are independent has spawned ...
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12/29/2014
