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» Coarticulation in Markov Decision Processes
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AAAI
1996
13 years 9 months ago
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
Craig Boutilier, David Poole
CORR
2008
Springer
91views Education» more  CORR 2008»
13 years 7 months ago
Significant Diagnostic Counterexamples in Probabilistic Model Checking
Abstract. This paper presents a novel technique for counterexample generation in probabilistic model checking of Markov chains and Markov Decision Processes. (Finite) paths in coun...
Miguel E. Andrés, Pedro R. D'Argenio, Peter...
ORL
2006
87views more  ORL 2006»
13 years 7 months ago
SPAR: stochastic programming with adversarial recourse
We consider a general adversarial stochastic optimization model. Our model involves the design of a system that an adversary may subsequently attempt to destroy or degrade. We int...
Matthew D. Bailey, Steven M. Shechter, Andrew J. S...
ECAI
2000
Springer
13 years 11 months ago
Efficient Asymptotic Approximation in Temporal Difference Learning
Abstract. TD(
Frédérick Garcia, Florent Serre
GLOBECOM
2010
IEEE
13 years 5 months ago
Cooperative Relay Scheduling under Partial State Information in Energy Harvesting Sensor Networks
Abstract--Sensors equipped with energy harvesting and cooperative communication capabilities are a viable solution to the power limitations of Wireless Sensor Networks (WSNs) assoc...
Huijiang Li, Neeraj Jaggi, Biplab Sikdar