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» A time aggregation approach to Markov decision processes
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SARA
2005
Springer
15 years 11 months ago
Feature-Discovering Approximate Value Iteration Methods
Sets of features in Markov decision processes can play a critical role ximately representing value and in abstracting the state space. Selection of features is crucial to the succe...
Jia-Hong Wu, Robert Givan
JAIR
2006
160views more  JAIR 2006»
15 years 6 months ago
Anytime Point-Based Approximations for Large POMDPs
The Partially Observable Markov Decision Process has long been recognized as a rich framework for real-world planning and control problems, especially in robotics. However exact s...
Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
GLOBECOM
2009
IEEE
15 years 4 months ago
Dogfight in Spectrum: Jamming and Anti-Jamming in Multichannel Cognitive Radio Systems
Primary user emulation attack in multichannel cognitive radio systems is discussed. An attacker is assumed to be able to send primary-user-like signals during spectrum sensing peri...
Husheng Li, Zhu Han
ENTCS
2002
139views more  ENTCS 2002»
15 years 6 months ago
Automatic Verification of the IEEE-1394 Root Contention Protocol with KRONOS and PRISM
We report on the automatic verification of timed probabilistic properties of the IEEE 1394 root contention protocol combining two existing tools: the real-time modelchecker Kronos...
Conrado Daws, Marta Z. Kwiatkowska, Gethin Norman
ATAL
2006
Springer
15 years 10 months ago
Decentralized planning under uncertainty for teams of communicating agents
Decentralized partially observable Markov decision processes (DEC-POMDPs) form a general framework for planning for groups of cooperating agents that inhabit a stochastic and part...
Matthijs T. J. Spaan, Geoffrey J. Gordon, Nikos A....