عنوان

Sample efficient multiagent learning in the presence of Markovian agents /

Terms of Availability and/or Price

(electronic bk.)

Terms of Availability and/or Price

(electronic bk.)

(Number (ISBN

3319026062

(Number (ISBN

9783319026060

Erroneous ISBN

3319026054

Erroneous ISBN

9783319026053

Number

dltt

Title Proper

Sample efficient multiagent learning in the presence of Markovian agents /

General Material Designation

[Book]

First Statement of Responsibility

Doran Chakraborty

Specific Material Designation and Extent of Item

1 online resource (xvii, 147 pages)

Series Title

Studies in computational intelligence ;

Volume Designation

volume 523

Text of Note

Includes bibliographical references

Text of Note

Introduction -- Background -- Learn or Exploit in Adversary Induced Markov Decision Processes -- Convergence, Targeted Optimality and Safety in Multiagent Learning -- Maximizing -- Targeted Modeling of Markovian agents -- Structure Learning in Factored MDPs -- Related Work -- Conclusion and Future Work

0

Text of Note

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

Title

Sample efficient multiagent learning in the presence of Markovian agents.

International Standard Book Number

3319026054

Machine learning

Markov processes

Multiagent systems

Class number

Book number

Chakraborty, Doran

Ohio Library and Information Network

Date of Transaction

20150224074132.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y