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AI
1998
Springer
15 years 3 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
145
Voted
PVLDB
2010
167views more  PVLDB 2010»
15 years 1 months ago
Runtime Measurements in the Cloud: Observing, Analyzing, and Reducing Variance
One of the main reasons why cloud computing has gained so much popularity is due to its ease of use and its ability to scale computing resources on demand. As a result, users can ...
Jörg Schad, Jens Dittrich, Jorge-Arnulfo Quia...
RTAS
2009
IEEE
15 years 10 months ago
Execution Strategies for PTIDES, a Programming Model for Distributed Embedded Systems
—We define a family of execution policies for a programming model called PTIDES (Programming Temporally Integrated Distributed Embedded Systems). A PTIDES application (factory a...
Jia Zou, Slobodan Matic, Edward A. Lee, Thomas Hui...
139
Voted
ICIP
2007
IEEE
15 years 9 months ago
Distributed Compression of Multi-View Images using a Geometrical Coding Approach
In this paper, we propose a distributed compression approach for multi-view images, where each camera efficiently encodes its visual information locally without requiring any col...
Nicolas Gehrig, Pier Luigi Dragotti
154
Voted
ROBOCOMM
2007
IEEE
15 years 9 months ago
Decentralized vehicle routing in a stochastic and dynamic environment with customer impatience
— Consider the following scenario: a spatio-temporal stochastic process generates service requests, localized at points in a bounded region on the plane; these service requests a...
Marco Pavone, Nabhendra Bisnik, Emilio Frazzoli, V...