Info
Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems / Tatiana Tatarenko
| Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems / Tatiana Tatarenko |
| Autore | Tatarenko, Tatiana |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | ix, 171 p. : ill. ; 24 cm |
| Soggetto topico |
91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020]
60J20 - Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020] 91A40 - Other game-theoretic models [MSC 2020] 91A26 - Rationality and learning in game theory [MSC 2020] |
| Soggetto non controllato |
Consensus-based algorithms
Distributed Optimization Game Theory Game-theoretic approach to optimization Game-theoretic learning Learning algorithms Multi-agent Optimization Potential games Stochastic methods |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124064 |
Tatarenko, Tatiana
|
||
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems / Tatiana Tatarenko
| Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems / Tatiana Tatarenko |
| Autore | Tatarenko, Tatiana |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | ix, 171 p. : ill. ; 24 cm |
| Soggetto topico |
60J20 - Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020]
91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] 91A26 - Rationality and learning in game theory [MSC 2020] 91A40 - Other game-theoretic models [MSC 2020] |
| Soggetto non controllato |
Consensus-based algorithms
Distributed Optimization Game Theory Game-theoretic approach to optimization Game-theoretic learning Learning algorithms Multi-agent Optimization Potential games Stochastic methods |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00124064 |
|
Tatarenko, Tatiana
|
||
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems / Tatiana Tatarenko
| Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems / Tatiana Tatarenko |
| Autore | Tatarenko, Tatiana |
| Edizione | [Cham : Springer, 2017] |
| Pubbl/distr/stampa | ix, 171 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020]
60J20 - Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020] 91A40 - Other game-theoretic models [MSC 2020] 91A26 - Rationality and learning in game theory [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0124064 |
|
Tatarenko, Tatiana
|
||
| ix, 171 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||