Cooperative Route Planning Framework for Multiple Distributed Assets in Maritime Applications

Summary: RPP for multiple distributed assets formalized as a Team Discrete MDP (TDMDP). MaMoRL: multi-agent, multi-objective reinforcement learning for coordinated, constraint-aware route planning with real-world deployment and transfer-learning evaluation on real/synthetic grids (NRL-MMD). (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6507
Venue: SIGMOD
Year: 2022
Pagerank: 5.093636e-05
Overall Rank: 11,560 | 20.69%
DOI: 10.1145/3514221.3526131

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Authors

1. Sepideh Nikookar (New Jersey Institute of Technology)
2. Paras Sakharkar (New Jersey Institute of Technology)
3. Sathyanarayanan Somasunder (New Jersey Institute of Technology)
4. Senjuti Basu Roy (New Jersey Institute of Technology)
5. Adam Bienkowski (University of Connecticut)
6. Matthew Macesker (University of Connecticut)
7. Krishna R. Pattipati (University of Connecticut)
8. David Sidoti (United States Naval Research Laboratory)

BibTeX Citation

@inproceedings{nikookar_sigmod22,
        title = {{Cooperative Route Planning Framework for Multiple Distributed Assets in Maritime Applications}},
        author = {Nikookar, Sepideh and Sakharkar, Paras and Somasunder, Sathyanarayanan and Roy, Senjuti Basu and Bienkowski, Adam and Macesker, Matthew and Pattipati, Krishna R. and Sidoti, David},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3526131},
        url = {https://dl.acm.org/doi/10.1145/3514221.3526131},
        year = {2022}
}

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Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
2,058	Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning	2020	SIGMOD	9.2480248e-05
6,039	Guided Exploration of User Groups	2020	VLDB	5.9990875e-05

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