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» Terminating Decision Algorithms Optimally
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UAI
2000
15 years 4 months ago
The Complexity of Decentralized Control of Markov Decision Processes
We consider decentralized control of Markov decision processes and give complexity bounds on the worst-case running time for algorithms that find optimal solutions. Generalization...
Daniel S. Bernstein, Shlomo Zilberstein, Neil Imme...
IJAR
2006
89views more  IJAR 2006»
15 years 3 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
CODES
2003
IEEE
15 years 8 months ago
A multiobjective optimization model for exploring multiprocessor mappings of process networks
In the Sesame framework, we develop a modeling and simulation environment for the efficient design space exploration of heterogeneous embedded systems. Since Sesame recognizes se...
Cagkan Erbas, Selin C. Erbas, Andy D. Pimentel
DATE
2006
IEEE
133views Hardware» more  DATE 2006»
15 years 9 months ago
Analysis and synthesis of quantum circuits by using quantum decision diagrams
Quantum information processing technology is in its pioneering stage and no proficient method for synthesizing quantum circuits has been introduced so far. This paper introduces a...
Afshin Abdollahi, Massoud Pedram
111
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APLAS
2003
ACM
15 years 8 months ago
Controlling and Optimizing the Usage of One Resource
This paper studies the problem of resource availability in the context of mobile code for embedded systems such as smart cards. It presents an architecture dedicated to controlling...
Antoine Galland, Mathieu Baudet