Rushiv Arora

202320242 3

Hossein Pishro-NikUniversity of Massachusetts AmherstVerified email at ecs.umass.edu
Saeede EnayatiUniversity of Massachusetts, AmherstVerified email at umass.edu
Edward Rietmanresearch fellow, umass, amherstVerified email at umass.edu
Hava SiegelmannProfessor of Computer Science, and Brain Sciences, UMass AmherstVerified email at cs.umass.edu
J. Eliot B. MossProfessor Emeritus of Information and Computer Sciences, University of Massachusetts AmherstVerified email at cs.umass.edu
Bruno Castro da SilvaUniversity of MassachusettsVerified email at cs.umass.edu
Peter DelMastroVirginia TechVerified email at vt.edu
Somjit NathMcGill University, MilaVerified email at mail.mcgill.ca
Samira Ebrahimi KahouAssociate Professor, École de technologie supérieure/Mila/Canada CIFAR AI ChairVerified email at etsmtl.ca

Rushiv Arora

Verified email at cs.umass.edu - Homepage


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Model-Based Reinforcement Learning with SINDy R Arora, BC da Silva, E Moss arXiv preprint arXiv:2208.14501, 2022	2	2022
Deployment of a UAV-Based Fire Detection System R Arora, M Khosravi, S Enayati, H Pishro-Nik 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 1-6, 2023	1	2023
On the Dynamics of Learning Time-Aware Behavior with Recurrent Neural Networks P DelMastro, R Arora, E Rietman, HT Siegelmann arXiv preprint arXiv:2306.07125, 2023	1	2023
A search and detection autonomous drone system: From design to implementation M Khosravi, R Arora, S Enayati, H Pishro-Nik arXiv preprint arXiv:2211.15866, 2022	1	2022
Locally Constrained Representations in Reinforcement Learning S Nath, R Arora, SE Kahou arXiv preprint arXiv:2209.09441v2, 2024		2024
On the Dynamics of Learning Time-Aware Behavior with RNNs P DelMastro, R Arora, E Rietman, HT Siegelmann		2023

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