Winning back the CUP for Distributed POMDPs: Planning over continuous belief spaces

• Main Authors: VARAKANTHAM, Pradeep, Nair, Ranjit, Tambe, Milind, Yokoo, Makoto
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2006
• Subjects: Artificial Intelligence and Robotics; Business; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/940; https://ink.library.smu.edu.sg/context/sis_research/article/1939/viewcontent/AAMAS2006.pdf
• Institution: Singapore Management University

Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are evolving as a popular approach for modeling multiagent systems, and many different algorithms have been proposed to obtain locally or globally optimal policies. Unfortunately, most of these algorithms have either been...