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» Solving Hierarchical Optimization Problems Using MOEAs
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AIPS
2009
15 years 1 months ago
Incremental Policy Generation for Finite-Horizon DEC-POMDPs
Solving multiagent planning problems modeled as DECPOMDPs is an important challenge. These models are often solved by using dynamic programming, but the high resource usage of cur...
Christopher Amato, Jilles Steeve Dibangoye, Shlomo...
129
Voted
JAIR
2008
107views more  JAIR 2008»
15 years 20 days ago
Planning with Durative Actions in Stochastic Domains
Probabilistic planning problems are typically modeled as a Markov Decision Process (MDP). MDPs, while an otherwise expressive model, allow only for sequential, non-durative action...
Mausam, Daniel S. Weld
GLOBECOM
2007
IEEE
15 years 4 months ago
Efficient Scheduling for Heterogeneous Services in OFDMA Downlink
We consider optimal allocation of resources to users in a downlink OFDMA system to support heterogeneous applications consisting of both deadline-sensitive (DS) and best-effort (BE...
Rajiv Agarwal, Vinay R. Majjigi, Rath Vannithamby,...
121
Voted
EH
2004
IEEE
131views Hardware» more  EH 2004»
15 years 4 months ago
Swarm Intelligence for Digital Circuits Implementation on Field Programmable Gate Arrays Platforms
Field programmable gate arrays (FPGAs) are becoming increasingly important implementation platforms for digital circuits. One of the necessary requirements to effectively utilize ...
Ganesh K. Venayagamoorthy, Venu G. Gudise
ICISP
2010
Springer
15 years 4 months ago
Total Variation Minimization with Separable Sensing Operator
Compressed Imaging is the theory that studies the problem of image recovery from an under-determined system of linear measurements. One of the most popular methods in this field i...
Serge L. Shishkin, Hongcheng Wang, Gregory S. Hage...