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Game Theoretic Learning and Distributed Optimization in Memoryless Multi Agent S Tatarenko 1st ed. 2017 edition
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Game Theoretic Learning and Distributed Optimization in Memoryless Multi Agent S
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 | Kirjat Book |
| Julkaisupäivämäärä | torstai 28. syyskuuta 2017 |
| ISBN13 | 9783319654782 |
| Tuottaja | Springer International Publishing AG |
| Sivujen määrä | 171 |
| Mitta | 150 × 220 × 20 mm · 435 g |
| Kieli | Saksa |