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Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems Tatiana Tatarenko Softcover reprint of the original 1st ed. 2017 edition
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Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems
Tatiana Tatarenko
These methods do not require the agents to have the full information about the system, but instead allow them to make their local decisions based only on the local information, possibly obtained during communication with their local neighbors.
171 pages, 38 Tables, color; 38 Illustrations, black and white; IX, 171 p. 38 illus.
| Media | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 15. august 2018 |
| ISBN13 | 9783319880396 |
| Utgivere | Springer International Publishing AG |
| Antall sider | 171 |
| Mål | 150 × 220 × 10 mm · 289 g |
| Språk | Tysk |