ServiceNow AI Research

Planning

Efficient Dynamics Modeling in Interactive Environments with Koopman Theory
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 …
International Conference of Learning Representations (ICLR),  2024.
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CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning
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 …
Conference on Neural Information Processing Systems (NeurIPS),  2023.
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Egocentric Planning for Scalable Embodied Task Achievement
Egocentric Planning for Scalable Embodied Task Achievement
Embodied agents face significant challenges when tasked with performing actions in diverse environments, particularly in generalizing …
Conference on Neural Information Processing Systems (NeurIPS),  2023.
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Efficient Dynamics Modeling in Interactive Environments with Koopman Theory
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 …
European Workshop on Reinforcement Learning (EWRL),  2023.
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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. …
Montreal AI Symposium (MAIS),  2022.
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Scaling up ML-based Black-box Planning with Partial STRIPS Models
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 …
Workshop at International Join Conference on Artificial Intelligence (IJCAI),  2022.
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A Planning based Neural-Symbolic Approach for Embodied Instruction Following
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 …
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
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 …
ICAPS'22 Workshop on Reliable Data-Driven Planning and Scheduling,  2022.
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SEVN: A Sidewalk Simulation Environment for Visual Navigation
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 …
Conference on Robot Learning (CoRL),  2019.
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Planning with Latent SImulated Trajectories
Planning with Latent SImulated Trajectories
In this work, we draw connections between planning and latent variable models1. Specifically, planning can be seen as introducing …
Workshop at the International Conference on Learning Representations (ICLR),  2019.
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