Marina Haliem

Orcid: 0000-0002-9782-6591

According to our database1, Marina Haliem authored at least 10 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Machine Learning Based Resilience Testing of an Address Randomization Cyber Defense.
IEEE Trans. Dependable Secur. Comput., 2023

2022
PassGoodPool: Joint Passengers and Goods Fleet Management With Reinforcement Learning Aided Pricing, Matching, and Route Planning.
IEEE Trans. Intell. Transp. Syst., 2022

AdaPool: A Diurnal-Adaptive Fleet Management Framework Using Model-Free Deep Reinforcement Learning and Change Point Detection.
IEEE Trans. Intell. Transp. Syst., 2022

Decision Making in Monopoly Using a Hybrid Deep Reinforcement Learning Approach.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Multi-agent Deep Covering Option Discovery.
CoRR, 2022

2021
A Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching Using Deep Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., 2021

Learning Monopoly Gameplay: A Hybrid Model-Free Deep Reinforcement Learning and Imitation Learning Approach.
CoRR, 2021

Novelty Detection and Adaptation: A Domain Agnostic Approach.
Proceedings of the International Semantic Intelligence Conference 2021 (ISIC 2021), 2021

2020
AdaPool: An Adaptive Model-Free Ride-Sharing Approach for Dispatching using Deep Reinforcement Learning.
Proceedings of the BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, 2020

A Distributed Model-Free Ride-Sharing Algorithm with Pricing using Deep Reinforcement Learning.
Proceedings of the CSCS '20: Computer Science in Cars Symposium, 2020


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