About
People
Publications
Open Source
Demos
Events
Blog
Careers
Contact
English
English
Français
ServiceNow
ServiceNow Research
Tags
Planning
ServiceNow Research
Planning
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory
The accurate modeling of dynamics in interactive environments is critical for successful long-range prediction. Such a capability could …
Arnab Mondal
,
Siba Smarak Panigrahi
,
Siamak Ravanbakhsh
,
Sai Rajeswar Mudumba
International Conference of Learning Representations (ICLR), 2024.
PDF
Cite
CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning
Handling out-of-distribution (OOD) samples has become a major stake in the real-world deploy- ment of machine learning systems. This …
Charles Guille-Escuret
,
Pau Rodriguez
,
David Vazquez
,
Ioannis Mitliagkas
,
João Monteiro
Conference on Neural Information Processing Systems (NeurIPS), 2023.
PDF
Cite
Code
Egocentric Planning for Scalable Embodied Task Achievement
Embodied agents face significant challenges when tasked with performing actions in diverse environments, particularly in generalizing …
Xiaotian Liu
,
Hector Palacios
,
Christian Muise
Conference on Neural Information Processing Systems (NeurIPS), 2023.
PDF
Cite
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory
The accurate modeling of dynamics in interactive environments is critical for suc- cessful long-range prediction. Such a capability …
Arnab Mondal
,
Sai Rajeswar Mudumba
,
Siamak Ravanbakhsh
,
Siba Smarak Panigrahi
European Workshop on Reinforcement Learning (EWRL), 2023.
PDF
Cite
A Planning based Neural-Symbolic Approach for Embodied Instruction Following
The ALFRED environment features an embodied agent following instructions and accomplishing tasks in simulated home environments. …
Xiaotian Liu
,
Hector Palacios
,
Christian Muise
Montreal AI Symposium (MAIS), 2022.
PDF
Cite
Scaling up ML-based Black-box Planning with Partial STRIPS Models
A popular approach for sequential decision-making is to perform simulator-based search guided with Machine Learning (ML) methods like …
Matias Greco
,
Alvaro Torralba
,
Jorge Baier
,
Hector Palacios
Workshop at International Join Conference on Artificial Intelligence (IJCAI), 2022.
PDF
Cite
Code
A Planning based Neural-Symbolic Approach for Embodied Instruction Following
The ALFRED environment features embodied instruction following tasks in simulated home environments. However, end-to-end deep learning …
Xiaotian Liu
,
Hector Palacios
,
Christian Muise
Workshop at the Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
PDF
Cite
Scaling up ML-based Black-box Planning with Partial STRIPS Models
A popular approach for sequential decision-making is to perform simulator-based search guided with Machine Learning (ML) methods like …
Matias Greco
,
Alvaro Torralba
,
Jorge Baier
,
Hector Palacios
ICAPS'22 Workshop on Reliable Data-Driven Planning and Scheduling, 2022.
PDF
Cite
Code
SEVN: A Sidewalk Simulation Environment for Visual Navigation
Millions of blind and visually-impaired (BVI) people navigate urban environments every day, using smartphones for high-level …
Martin Weiss
,
Simon Chamorro
,
Roger Girgis
,
Margaux Luck
,
Samira Ebrahimi Kahou
,
Joseph P. Cohen
,
Derek Nowrouzezahrai
,
Doina Precup
,
Florian Golemo
,
Christopher Pal
Conference on Robot Learning (CoRL), 2019.
PDF
Cite
Code
Planning with Latent SImulated Trajectories
In this work, we draw connections between planning and latent variable models1. Specifically, planning can be seen as introducing …
Alexandre Piche
,
Valentin Thomas
,
Cyril Ibrahim
,
Julien Cornebise
,
Christopher Pal
Workshop at the International Conference on Learning Representations (ICLR), 2019.
PDF
Cite
»
Cite
×