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Planning
ServiceNow Research
Planning
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.
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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.
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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.
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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.
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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.
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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.
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Probabilistic Planning with Sequential Monte Carlo Methods
In this work, we propose a novel formulation of planning which views it as a probabilistic inference problem over future optimal …
Alexandre Piche
,
Valentin Thomas
,
Cyril Ibrahim
,
Yoshua Bengio
,
Christopher Pal
International Conference on Learning Representations (ICLR), 2019.
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Learning Heuristics for the TSP by Policy Gradient
The aim of the study is to provide interesting insights on how efficient machine learning algorithms could be adapted to solve com- …
Michel Deudon
,
Pierre Cournut
,
Alexandre Lacoste
,
Yossiri Adulyasak
,
Louis-Martin Rousseau
International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2018.
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