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» A time aggregation approach to Markov decision processes
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ICML
2009
IEEE
16 years 7 months ago
Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
Ryan Prescott Adams, Iain Murray, David J. C. MacK...
EUROS
2008
153views Robotics» more  EUROS 2008»
15 years 8 months ago
Adaptive Multiple Resources Consumption Control for an Autonomous Rover
Resources consumption control is crucial in the autonomous rover context. Most of the time, the resources consumption is probabilistic. During execution time, the rover has to adap...
Simon Le Gloannec, Abdel-Illah Mouaddib, Fran&cced...
CORR
2010
Springer
171views Education» more  CORR 2010»
15 years 1 months ago
Online Learning in Opportunistic Spectrum Access: A Restless Bandit Approach
We consider an opportunistic spectrum access (OSA) problem where the time-varying condition of each channel (e.g., as a result of random fading or certain primary users' activ...
Cem Tekin, Mingyan Liu
ADC
2004
Springer
156views Database» more  ADC 2004»
15 years 11 months ago
Multiresolution Amalgamation: Dynamic Spatial Data Cube Generation
Aggregating spatial objects is a necessary step in generating spatial data cubes to support roll-up/drill-down operations. Current approaches face performance bottleneck issues wh...
Sham Prasher, Xiaofang Zhou
NIPS
2001
15 years 7 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....