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» Oracular Partially Observable Markov Decision Processes: A V...
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95
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ICML
2004
IEEE
16 years 13 days ago
Utile distinction hidden Markov models
This paper addresses the problem of constructing good action selection policies for agents acting in partially observable environments, a class of problems generally known as Part...
Daan Wierstra, Marco Wiering
IJCAI
2001
15 years 1 months ago
Complexity of Probabilistic Planning under Average Rewards
A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
Jussi Rintanen
99
Voted
NIPS
2001
15 years 1 months ago
Predictive Representations of State
We show that states of a dynamical system can be usefully represented by multi-step, action-conditional predictions of future observations. State representations that are grounded...
Michael L. Littman, Richard S. Sutton, Satinder P....
124
Voted
GLOBECOM
2009
IEEE
14 years 9 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
96
Voted
IJCAI
2003
15 years 1 months ago
A Planning Algorithm for Predictive State Representations
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
Masoumeh T. Izadi, Doina Precup