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AIPS
2010
15 years 8 months 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»
15 years 5 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
15 years 7 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»
16 years 5 days 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 11 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