HOME > 상세정보

상세정보

A concise introduction to decentralized POMDPs [electronic resource]

A concise introduction to decentralized POMDPs [electronic resource]

자료유형
E-Book(소장)
개인저자
Oliehoek, Frans A. Amato, Christopher.
서명 / 저자사항
A concise introduction to decentralized POMDPs [electronic resource] / by Frans A. Oliehoek, Christopher Amato.
발행사항
Cham :   Springer International Publishing :   Imprint: Springer,   c2016.  
형태사항
1 online resource (xx, 134 p.) : ill. (some col.).
총서사항
SpringerBriefs in intelligent systems, artificial intelligence, multiagent systems, and cognitive robotics,2196-548X, 2196-5498 (electronic)
ISBN
9783319289298
요약
This book introduces multiagent planning under uncertainty as formalized by decentralized partially observable Markov decision processes (Dec-POMDPs). The intended audience is researchers and graduate students working in the fields of artificial intelligence related to sequential decision making: reinforcement learning, decision-theoretic planning for single agents, classical multiagent planning, decentralized control, and operations research.
일반주기
Title from e-Book title page.  
내용주기
Multiagent Systems Under Uncertainty -- The Decentralized POMDP Framework -- Finite-Horizon Dec-POMDPs -- Exact Finite-Horizon Planning Methods -- Approximate and Heuristic Finite-Horizon Planning Methods -- Infinite-Horizon Dec-POMDPs -- Infinite-Horizon Planning Methods: Discounted Cumulative Reward -- Infinite-Horizon Planning Methods: Average Reward -- Further Topics.
서지주기
Includes bibliographical references.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Computer science. Artificial intelligence. Mathematical optimization. Control engineering. Robotics. Mechatronics.
바로가기
URL
000 00000nam u2200205 a 4500
001 000046026858
005 20200515165352
006 m d
007 cr
008 200508s2016 sz a ob 000 0 eng d
020 ▼a 9783319289298
040 ▼a 211009 ▼c 211009 ▼d 211009
050 4 ▼a Q334-342
082 0 4 ▼a 658.4032 ▼2 23
084 ▼a 658.4032 ▼2 DDCK
090 ▼a 658.4032
100 1 ▼a Oliehoek, Frans A.
245 1 2 ▼a A concise introduction to decentralized POMDPs ▼h [electronic resource] / ▼c by Frans A. Oliehoek, Christopher Amato.
260 ▼a Cham : ▼b Springer International Publishing : ▼b Imprint: Springer, ▼c c2016.
300 ▼a 1 online resource (xx, 134 p.) : ▼b ill. (some col.).
490 1 ▼a SpringerBriefs in intelligent systems, artificial intelligence, multiagent systems, and cognitive robotics, ▼x 2196-548X, ▼x 2196-5498 (electronic)
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references.
505 0 ▼a Multiagent Systems Under Uncertainty -- The Decentralized POMDP Framework -- Finite-Horizon Dec-POMDPs -- Exact Finite-Horizon Planning Methods -- Approximate and Heuristic Finite-Horizon Planning Methods -- Infinite-Horizon Dec-POMDPs -- Infinite-Horizon Planning Methods: Discounted Cumulative Reward -- Infinite-Horizon Planning Methods: Average Reward -- Further Topics.
520 ▼a This book introduces multiagent planning under uncertainty as formalized by decentralized partially observable Markov decision processes (Dec-POMDPs). The intended audience is researchers and graduate students working in the fields of artificial intelligence related to sequential decision making: reinforcement learning, decision-theoretic planning for single agents, classical multiagent planning, decentralized control, and operations research.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Computer science.
650 0 ▼a Artificial intelligence.
650 0 ▼a Mathematical optimization.
650 0 ▼a Control engineering.
650 0 ▼a Robotics.
650 0 ▼a Mechatronics.
700 1 ▼a Amato, Christopher.
830 0 ▼a SpringerBriefs in intelligent systems, artificial intelligence, multiagent systems, and cognitive robotics.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-319-28929-8
945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 658.4032 등록번호 E14021496 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

관련분야 신착자료

김홍탁 (2026)
최원설 (2026)
김창수 (2025)