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| DESCRIPTION | With the rapid development of artificial intelligence and Internet of Things technology, swarm intelligence has become one of the fastest-growing fields in artificial intelligence. The aim of this course is to enable students to grasp the basic concepts and methods of swarm intelligence by explaining its fundamental concepts, basic methods, and the latest progress in applications. This will lay a solid foundation for students to further engage in learning and research related to artificial intelligence. The main content of the course includes the basic concepts of swarm intelligence, classic algorithms, reinforcement learning, multi-agent reinforcement learning methods, as well as examples of swarm intelligence algorithms applied in high-mobility and heterogeneous intelligent transportation systems and low-altitude networks. |
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| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6241) | Th 01:30PM - 04:20PM | Rm 102, W1 | ZHANG, Rongqing | 30 | 30 | 0 | 0 |