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AIPS
2010
15 years 3 days ago
When Policies Can Be Trusted: Analyzing a Criteria to Identify Optimal Policies in MDPs with Unknown Model Parameters
Computing a good policy in stochastic uncertain environments with unknown dynamics and reward model parameters is a challenging task. In a number of domains, ranging from space ro...
Emma Brunskill
JMLR
2008
159views more  JMLR 2008»
14 years 9 months ago
Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to ...
Andreas Krause, Ajit Paul Singh, Carlos Guestrin
WSC
2000
14 years 11 months ago
Simulation of an evolutionary tuned fuzzy dispatching system for automated guided vehicles
This paper presents the development and simulation of a novel Genetic Algorithm (GA) based methodology applied to optimal tuning of a fuzzy dispatching system for a fleet of autom...
Kok Kiong Tan, K. Z. Tang
AAIM
2008
Springer
94views Algorithms» more  AAIM 2008»
15 years 4 months ago
Speed Scaling with a Solar Cell
We consider the setting of a device that obtains it energy from a battery and some regenerative source such as a solar cell. We consider the speed scaling problem of scheduling a c...
Nikhil Bansal, Ho-Leung Chan, Kirk Pruhs
ICRA
2005
IEEE
117views Robotics» more  ICRA 2005»
15 years 3 months ago
CBUG: A Quadratically Competitive Mobile Robot Navigation Algorithm
Abstract This paper is concerned with the problem where a mobile robot of size D has to navigate to a target in an unknown planar environment. The competitiveness of an on-line nav...
Yoav Gabriely, Elon Rimon