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» The Compositional Construction of Markov Processes
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AMAI
2004
Springer
14 years 24 days ago
Approximate Probabilistic Constraints and Risk-Sensitive Optimization Criteria in Markov Decision Processes
The majority of the work in the area of Markov decision processes has focused on expected values of rewards in the objective function and expected costs in the constraints. Althou...
Dmitri A. Dolgov, Edmund H. Durfee
NIPS
2008
13 years 8 months ago
The Infinite Factorial Hidden Markov Model
We introduce a new probability distribution over a potentially infinite number of binary Markov chains which we call the Markov Indian buffet process. This process extends the IBP...
Jurgen Van Gael, Yee Whye Teh, Zoubin Ghahramani
CAV
2009
Springer
156views Hardware» more  CAV 2009»
14 years 2 months ago
Towards Performance Prediction of Compositional Models in Industrial GALS Designs
Systems and Networks on Chips (NoCs) are a prime design focus of many hardware manufacturers. In addition to functional verification, which is a difficult necessity, the chip desi...
Nicolas Coste, Holger Hermanns, Etienne Lantreibec...
CORR
2008
Springer
154views Education» more  CORR 2008»
13 years 7 months ago
A Counterexample Guided Abstraction-Refinement Framework for Markov Decision Processes
rexample Guided Abstraction-Refinement Framework for Markov Decision Processes ROHIT CHADHA and MAHESH VISWANATHAN Dept. of Computer Science, University of Illinois at Urbana-Champ...
Rohit Chadha, Mahesh Viswanathan
IJCAI
2007
13 years 8 months ago
Using Linear Programming for Bayesian Exploration in Markov Decision Processes
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Pablo Samuel Castro, Doina Precup