Samin Yeasar Arnob

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	Toate	Din 2019
Referințe bibliografice	36	36
h-index	3	3
i10-index	1	1

202020212022202320243 3 8 15 6

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Doina PrecupDeepMind and McGill UniversityAdresă de e-mail confirmată pe cs.mcgill.ca
Riyasat OhibGeorgia Institute of TechnologyAdresă de e-mail confirmată pe gatech.edu
Riashat IslamResearch ScientistAdresă de e-mail confirmată pe dreamfold.ai
Riazul ArefinIntel CorporationAdresă de e-mail confirmată pe intel.com
Rakibul Hasan SagorProfessor, Department of EEE, Islamic University of TechnologyAdresă de e-mail confirmată pe iut-dhaka.edu
Dr. Md. Ruhul AminProfessor, EEE Department, Islamic University of Technology(IUT), BangladeshAdresă de e-mail confirmată pe iut-dhaka.edu
Alex LambMicrosoft Research (NYC), Université de Montréal, Google Brain, Amazon, Twitch PhD FellowAdresă de e-mail confirmată pe microsoft.com
Raihan SerajMcGill UniversityAdresă de e-mail confirmată pe mail.mcgill.ca
Amy ZhangAssistant Professor of Electrical and Computer Engineering at University of Texas at AustinAdresă de e-mail confirmată pe austin.utexas.edu

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Samin Yeasar Arnob

Ph.D. Student in Computer Science at McGill University / Mila

Adresă de e-mail confirmată pe mail.mcgill.ca - Pagina de pornire

Reinforcement Learning Offline RL Multitask Learning Sequential RL Imitation learning


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Single-Shot Pruning for Offline Reinforcement Learning SY Arnob, R Ohib, S Plis, D Precup NeurIPS 2021 Offline Reinforcement Learning Workshop, 2021	14	2021
Off-Policy Adversarial Inverse Reinforcement Learning SY Arnob ICML 2020 Workshop LifelongML, 2020	5	2020
Importance of Empirical Sample Complexity Analysis for Offline Reinforcement Learning SY Arnob, R Islam, D Precup NeurIPS 2021 Offline Reinforcement Learning Workshop, 2021	4	2021
ICLR 2019 REPRODUCIBILITY-CHALLENGE DISCRIMINATOR-ACTOR-CRITIC: ADDRESSING SAMPLE INEFFICIENCY AND REWARD BIAS IN ADVERSARIAL IM-ITATION LEARNING S Benard, V Luczkow, SY Arnob ICLR, 2019	3	2019
ENF Based Grid Classification System: Identifying the Region of Origin of Digital Recordings R Ohib, SY Arnob, R Arefin, M Amin, T Reza Criterion 3 (4), 5, 2017	3	2017
Metal nanoparticle enhanced light absorption in GaAs thin-film solar cell R Ohib, SY Arnob, MS Ali, RH Sagor, MR Amin 2016 IEEE Asia-Pacific Conference on Applied Electromagnetics (APACE), 89-93, 2016	3	2016
Representation learning in deep rl via discrete information bottleneck R Islam, H Zang, M Tomar, A Didolkar, MM Islam, SY Arnob, T Iqbal, X Li, ... arXiv preprint arXiv:2212.13835, 2022	2	2022
Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement Learning R Islam, R Seraj, SY Arnob, D Precup NeurIPS 2019 Workshop on Safety and Robustness in Decision Making, 2019	1	2019
Power file extraction process from bangladesh grid and exploring ENF based classification accuracy using machine learning SY Arnob, R Ohib, MM Muhaisin, TB Hassan 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), 79-82, 2017	1	2017
Offline Policy Optimization in RL with Variance Regularizaton R Islam, S Sinha, H Bharadhwaj, SY Arnob, Z Yang, A Garg, Z Wang, L Li, ... arXiv preprint arXiv:2212.14405, 2022		2022
Multitask Reinforcement Learning by Optimizing Neural Pathways SY Arnob, R Ohib, A Zhang, S Plis, D Precup		2022
Off-Policy Adversarial Inverse Reinforcement Learning S Yeasar Arnob arXiv e-prints, arXiv: 2005.01138, 2020		2020
Improving Robustness in Inverse Reinforcement Learning SY Arnob McGill University (Canada), 2020		2020
Value Iteration Algorithms for POMDPs R Seraj, SY Arnob		2019
Metal Nanoparticle Induced Enhancement of Light Absorption in Thin-film PV Cells R Ohib, S Yeasar, S Ali IUT, EEE, 2016		2016

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