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ORCIDMarina Haliem
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2020 – today
- 2023
[j5]Ganapathy Mani
, Marina Haliem, Bharat K. Bhargava, Indu Manickam, Kevin Kochpatcharin, Myeongsu Kim, Eric D. Vugrin, Weichao Wang, Chris Jenkins, Pelin Angin, Meng Yu:
Machine Learning Based Resilience Testing of an Address Randomization Cyber Defense. IEEE Trans. Dependable Secur. Comput. 20(6): 4853-4867 (2023)- 2022
- [j4]Trevor Bonjour, Marina Haliem, Aala Oqab Alsalem, Shilpa Thomas, Hongyu Li, Vaneet Aggarwal, Mayank Kejriwal, Bharat K. Bhargava:
Decision Making in Monopoly Using a Hybrid Deep Reinforcement Learning Approach. IEEE Trans. Emerg. Top. Comput. Intell. 6(6): 1335-1344 (2022) - [j3]Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava:
AdaPool: A Diurnal-Adaptive Fleet Management Framework Using Model-Free Deep Reinforcement Learning and Change Point Detection. IEEE Trans. Intell. Transp. Syst. 23(3): 2471-2481 (2022) - [j2]Kaushik Manchella, Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava:
PassGoodPool: Joint Passengers and Goods Fleet Management With Reinforcement Learning Aided Pricing, Matching, and Route Planning. IEEE Trans. Intell. Transp. Syst. 23(4): 3866-3877 (2022) - [i5]Jiayu Chen, Marina Haliem, Tian Lan, Vaneet Aggarwal:
Multi-agent Deep Covering Option Discovery. CoRR abs/2210.03269 (2022) - 2021
- [j1]Marina Haliem, Ganapathy Mani, Vaneet Aggarwal, Bharat K. Bhargava:
A Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching Using Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 22(12): 7931-7942 (2021) - [c3]Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava:
Novelty Detection and Adaptation: A Domain Agnostic Approach. ISIC 2021: 73-77 - [i4]Marina Haliem, Trevor Bonjour, Aala Oqab Alsalem, Shilpa Thomas, Hongyu Li, Vaneet Aggarwal, Bharat K. Bhargava, Mayank Kejriwal:
Learning Monopoly Gameplay: A Hybrid Model-Free Deep Reinforcement Learning and Imitation Learning Approach. CoRR abs/2103.00683 (2021) - [i3]Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava:
AdaPool: A Diurnal-Adaptive Fleet Management Framework using Model-Free Deep Reinforcement Learning and Change Point Detection. CoRR abs/2104.00203 (2021) - 2020
- [c2]Marina Haliem, Ganapathy Mani, Vaneet Aggarwal, Bharat K. Bhargava:
A Distributed Model-Free Ride-Sharing Algorithm with Pricing using Deep Reinforcement Learning. CSCS 2020: 5:1-5:10 - [c1]Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava:
AdaPool: An Adaptive Model-Free Ride-Sharing Approach for Dispatching using Deep Reinforcement Learning. BuildSys@SenSys 2020: 304-305 - [i2]Marina Haliem, Ganapathy Mani, Vaneet Aggarwal, Bharat K. Bhargava:
A Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching using Deep Reinforcement Learning. CoRR abs/2010.01755 (2020) - [i1]Kaushik Manchella, Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava:
PassGoodPool: Joint Passengers and Goods Fleet Management with Reinforcement Learning aided Pricing, Matching, and Route Planning. CoRR abs/2011.08999 (2020)
Coauthor Index
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