| Graphene as a flexible electrode: review of fabrication approaches RKL Tan, SP Reeves, N Hashemi, DG Thomas, E Kavak, R Montazami, ... Journal of Materials Chemistry A 5 (34), 17777-17803, 2017 | 153 | 2017 |
| A survey on driver behavior analysis from in-vehicle cameras J Wang, W Chai, A Venkatachalapathy, KL Tan, A Haghighat, ... IEEE Transactions on Intelligent Transportation Systems 23 (8), 10186-10209, 2021 | 71 | 2021 |
| Spatiotemporally constrained action space attacks on deep reinforcement learning agents XY Lee, S Ghadai, KL Tan, C Hegde, S Sarkar Proceedings of the AAAI conference on artificial intelligence 34 (04), 4577-4584, 2020 | 71 | 2020 |
| Robustifying reinforcement learning agents via action space adversarial training KL Tan, Y Esfandiari, XY Lee, S Sarkar 2020 American control conference (ACC), 3959-3964, 2020 | 67 | 2020 |
| Query-based targeted action-space adversarial policies on deep reinforcement learning agents XY Lee, Y Esfandiari, KL Tan, S Sarkar Proceedings of the ACM/IEEE 12th international conference on cyber-physical …, 2021 | 34 | 2021 |
| Robust deep reinforcement learning for traffic signal control KL Tan, A Sharma, S Sarkar Journal of Big Data Analytics in Transportation 2, 263-274, 2020 | 28 | 2020 |
| Deep reinforcement learning for adaptive traffic signal control KL Tan, S Poddar, S Sarkar, A Sharma Dynamic systems and control conference 59162, V003T18A006, 2019 | 28 | 2019 |
| Aakanksha, and S KL Tan, Y Esfandiari, XY Lee Sarkar,“Robustifying reinforcement learning agents via action space …, 2020 | 11 | 2020 |
| MDPGT: momentum-based decentralized policy gradient tracking Z Jiang, XY Lee, SY Tan, KL Tan, A Balu, YM Lee, C Hegde, S Sarkar Proceedings of the AAAI conference on artificial intelligence 36 (9), 9377-9385, 2022 | 7 | 2022 |
| AgGym: An agricultural biotic stress simulation environment for ultra-precision management planning M Khosravi, M Carroll, KL Tan, L Van der Laan, J Raigne, DS Mueller, ... arXiv preprint arXiv:2409.00735, 2024 | | 2024 |
| Deep learning for decision making in cyber-physical systems KL Tan Iowa State University, 2022 | | 2022 |
| AGGYM—FARM MANAGEMENT DISCOVERY ENVIRONMENT FOR REINFORCEMENT LEARNING AGENTS KL Tan, M Carroll, M Khorsravi, LVLA Singh, B Ganapathysubramanian, ... Deep learning for decision making in cyber-physical systems, 89, 2022 | | 2022 |
Soumik SarkarDirector, Translational AI Center, Professor, Iowa State UniversityVahvistettu sähköpostiosoite verkkotunnuksessa iastate.edu