Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/245950
| DC Field | Value | |
|---|---|---|
| dc.title | COORDINATION AND OPTIMIZATION STRATEGIES IN MULTIAGENT SYSTEMS: EXPLORING EFFICIENT ALGORITHMS FOR MULTI-ROBOT PATROLLING AND RESILIENT SEARCH PROBLEMS | |
| dc.contributor.author | KANG QI | |
| dc.date.accessioned | 2023-11-14T18:00:21Z | |
| dc.date.available | 2023-11-14T18:00:21Z | |
| dc.date.issued | 2023-08-22 | |
| dc.identifier.citation | KANG QI (2023-08-22). COORDINATION AND OPTIMIZATION STRATEGIES IN MULTIAGENT SYSTEMS: EXPLORING EFFICIENT ALGORITHMS FOR MULTI-ROBOT PATROLLING AND RESILIENT SEARCH PROBLEMS. ScholarBank@NUS Repository. | |
| dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/245950 | |
| dc.language.iso | en | |
| dc.subject | Multiagent System, Multi-robot Patrolling, Multi-robot Efficient Search, Multiagent Reinforcement Learning | |
| dc.type | Thesis | |
| dc.contributor.department | MECHANICAL ENGINEERING | |
| dc.contributor.supervisor | Chee Meng Chew | |
| dc.description.degree | Master's | |
| dc.description.degreeconferred | MASTER OF ENGINEERING (CDE) | |
| dc.identifier.orcid | 0009-0004-1634-506X | |
| Appears in Collections: | Master's Theses (Closed) | |
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