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Samin Yeasar Arnob
Samin Yeasar Arnob
Ph.D. Student in Computer Science at McGill University / Mila
Verified email at mail.mcgill.ca - Homepage
Title
Cited by
Cited by
Year
Single-Shot Pruning for Offline Reinforcement Learning
SY Arnob, R Ohib, S Plis, D Precup
NeurIPS 2021 Offline Reinforcement Learning Workshop, 2021
202021
Off-Policy Adversarial Inverse Reinforcement Learning
SY Arnob
ICML 2020 Workshop LifelongML, 2020
82020
Importance of Empirical Sample Complexity Analysis for Offline Reinforcement Learning
SY Arnob, R Islam, D Precup
NeurIPS 2021 Offline Reinforcement Learning Workshop, 2021
52021
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, ...
https://proceedings.mlr.press/v206/islam23a.html, 2023
42023
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
32019
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
32017
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
32016
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
12019
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
12017
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
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
Multitask Reinforcement Learning by Optimizing Neural Pathways
SY Arnob, R Ohib, A Zhang, S Plis, D Precup
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