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PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving


Nov 01, 2020
Henry Pulver, Francisco Eiras, Ludovico Carozza, Majd Hawasly, Stefano Albrecht, Subramanian Ramamoorthy


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A Two-Stage Optimization Approach to Safe-by-Design Planning for Autonomous Driving


Feb 06, 2020
Francisco Eiras, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy


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PaRoT: A Practical Framework for Robust Deep Neural Network Training


Jan 08, 2020
Edward Ayers, Francisco Eiras, Majd Hawasly, Iain Whiteside


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Efficient Computation of Collision Probabilities for Safe Motion Planning


Apr 15, 2018
Andrew Blake, Alejandro Bordallo, Majd Hawasly, Svetlin Penkov, Subramanian Ramamoorthy, Alexandre Silva

* Submitted to the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2018 

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CLAD: A Complex and Long Activities Dataset with Rich Crowdsourced Annotations


Sep 21, 2017
Jawad Tayyub, Majd Hawasly, David C. Hogg, Anthony G. Cohn


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Estimating Activity at Multiple Scales using Spatial Abstractions


Jul 25, 2016
Majd Hawasly, Florian T. Pokorny, Subramanian Ramamoorthy

* 16 pages 

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Clustering Markov Decision Processes For Continual Transfer


May 01, 2016
M. M. Hassan Mahmud, Majd Hawasly, Benjamin Rosman, Subramanian Ramamoorthy

* 56 pages, Working paper 

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Bayesian Policy Reuse


Dec 14, 2015
Benjamin Rosman, Majd Hawasly, Subramanian Ramamoorthy

* 32 pages, submitted to the Machine Learning Journal 

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