Sample Efficient Multiagent Learning in the Presence of Markovian Agents / Studies in Computational Intelligence Bd.523 (PDF)
(Sprache: Englisch)
The problem of Multiagent Learning (or MAL) is concerned with the
study of how intelligent entities can learn and adapt in the presence of
other such entities that are simultaneously adapting. The problem is
often studied in the stylized settings...
study of how intelligent entities can learn and adapt in the presence of
other such entities that are simultaneously adapting. The problem is
often studied in the stylized settings...
sofort als Download lieferbar
Printausgabe 106.99 €
eBook (pdf) -10%
96.29 €
48 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Sample Efficient Multiagent Learning in the Presence of Markovian Agents / Studies in Computational Intelligence Bd.523 (PDF)“
The problem of Multiagent Learning (or MAL) is concerned with the
study of how intelligent entities can learn and adapt in the presence of
other such entities that are simultaneously adapting. The problem is
often studied in the stylized settings provided by repeated matrix games
(a.k.a. normal form games). The goal of this book is to develop MAL
algorithms for such a setting that achieve a new set of objectives which
have not been previously achieved. In particular this book deals with
learning in the presence of a new class of agent behavior that has not
been studied or modeled before in a MAL context: Markovian agent
behavior. Several new challenges arise when interacting with this
particular class of agents. The book takes a series of steps towards
building completely autonomous learning algorithms that maximize utility
while interacting with such agents. Each algorithm is meticulously
specified with a thorough formal treatment that elucidates its key
theoretical properties.
study of how intelligent entities can learn and adapt in the presence of
other such entities that are simultaneously adapting. The problem is
often studied in the stylized settings provided by repeated matrix games
(a.k.a. normal form games). The goal of this book is to develop MAL
algorithms for such a setting that achieve a new set of objectives which
have not been previously achieved. In particular this book deals with
learning in the presence of a new class of agent behavior that has not
been studied or modeled before in a MAL context: Markovian agent
behavior. Several new challenges arise when interacting with this
particular class of agents. The book takes a series of steps towards
building completely autonomous learning algorithms that maximize utility
while interacting with such agents. Each algorithm is meticulously
specified with a thorough formal treatment that elucidates its key
theoretical properties.
Bibliographische Angaben
- Autor: Doran Chakraborty
- 2013, 2014, 147 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319026062
- ISBN-13: 9783319026060
- Erscheinungsdatum: 30.09.2013
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 3.24 MB
- Mit Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kopierschutz
Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.
Pressezitat
From the book reviews:“The book presents the PhD findings of the author in the field of multiagent learning. … All the concepts are thoroughly described and accompanied by theoretical analysis and empirical testing. A book suitable for researchers working in multiagent learning and game theory.” (Ruxandra Stoean, zbMATH, Vol. 1288, 2014)
Kommentar zu "Sample Efficient Multiagent Learning in the Presence of Markovian Agents / Studies in Computational Intelligence Bd.523"
0 Gebrauchte Artikel zu „Sample Efficient Multiagent Learning in the Presence of Markovian Agents / Studies in Computational Intelligence Bd.523“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Sample Efficient Multiagent Learning in the Presence of Markovian Agents / Studies in Computational Intelligence Bd.523".
Kommentar verfassen