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10/16/2022
The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning
Evaluations of Deep Reinforcement Learning (DRL) methods are an integral...
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04/26/2022
Learning Eco-Driving Strategies at Signalized Intersections
Signalized intersections in arterial roads result in persistent vehicle ...
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03/07/2022
The Braess Paradox in Dynamic Traffic
The Braess's Paradox (BP) is the observation that adding one or more roa...
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04/25/2021
Fleet management for ride-pooling with meeting points at scale: a case study in the five boroughs of New York City
Introducing meeting points to ride-pooling (RP) services has been shown ...
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05/27/2018
Legal Document Retrieval using Document Vector Embeddings and Deep Learning
Domain specific information retrieval process has been a prominent and o...
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09/09/2017
Semi-Supervised Instance Population of an Ontology using Word Vector Embeddings
In many modern day systems such as information extraction and knowledge ...
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06/08/2017
Deriving a Representative Vector for Ontology Classes with Instance Word Vector Embeddings
Selecting a representative vector for a set of vectors is a very common ...
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06/06/2017
