43 search results - page 3 / 9 » Decentralized Learning in Markov Games |
SIGECOM
2006
ACM
14 years 8 days ago
2006
ACM
We present a reduction from graphical games to Markov random fields so that pure Nash equilibria in the former can be found by statistical inference on the latter. Our result, wh...
IROS
2007
IEEE
14 years 19 days ago
2007
IEEE
— Multi-agent systems (MAS) are a field of study of growing interest in a variety of domains such as robotics or distributed controls. The article focuses on decentralized reinf...
JAIR
2010
13 years 4 months ago
2010
Decentralized planning in uncertain environments is a complex task generally dealt with by using a decision-theoretic approach, mainly through the framework of Decentralized Parti...
ATAL
2011
Springer
12 years 6 months ago
2011
Springer
Motivated by a machine learning perspective—that gametheoretic equilibria constraints should serve as guidelines for predicting agents’ strategies, we introduce maximum causal...
ICIP
2002
IEEE
14 years 8 months ago
2002
IEEE
In this paper, we describe a statistical method to detect highlights in a baseball game video. The input video is first segmented into scene shots, within which the camera motion ...