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» A Framework for Sequential Planning in Multi-Agent Settings
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ECML
2005
Springer
14 years 1 months ago
Using Rewards for Belief State Updates in Partially Observable Markov Decision Processes
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
Masoumeh T. Izadi, Doina Precup
ATAL
2010
Springer
13 years 8 months ago
Point-based backup for decentralized POMDPs: complexity and new algorithms
Decentralized POMDPs provide an expressive framework for sequential multi-agent decision making. Despite their high complexity, there has been significant progress in scaling up e...
Akshat Kumar, Shlomo Zilberstein
ICVS
2001
Springer
13 years 12 months ago
A Modular Software Architecture for Real-Time Video Processing
An increasing number of computer vision applications require on-line processing of data streams, preferably in real-time. This trend is fueled by the mainstream availability of low...
Alexandre R. J. François, Gérard G. ...
BMCBI
2007
203views more  BMCBI 2007»
13 years 7 months ago
A Grid-based solution for management and analysis of microarrays in distributed experiments
Several systems have been presented in the last years in order to manage the complexity of large microarray experiments. Although good results have been achieved, most systems ten...
Ivan Porro, Livia Torterolo, Luca Corradi, Marco F...
SIGMOD
2004
ACM
262views Database» more  SIGMOD 2004»
14 years 7 months ago
The Next Database Revolution
Database system architectures are undergoing revolutionary changes. Most importantly, algorithms and data are being unified by integrating programming languages with the database ...
Jim Gray