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ATAL
2010
Springer
13 years 9 months ago
PAC-MDP learning with knowledge-based admissible models
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
Marek Grzes, Daniel Kudenko
CN
2004
108views more  CN 2004»
13 years 8 months ago
Routing bandwidth-guaranteed paths with restoration in label-switched networks
Label switched networks have become increasingly attractive to both network providers and customers. By creating aggregate, bandwidth-reserved flows, these networks offer routing ...
Samphel Norden, Milind M. Buddhikot, Marcel Waldvo...
MVA
2007
169views Computer Vision» more  MVA 2007»
13 years 10 months ago
Human Tracking Based on Particle Filter in Outdoor Scene
In this paper, we propose the object tracking method based on color histograms and particle filtering. Particle filtering is a time series filter for estimating a state using prob...
Mototsugu Muroi, Heitoh Zen
AAAI
1994
13 years 10 months ago
An Approach to Multiply Segmented Constraint Satisfaction Problems
This paper describes an extension to the constraint satisfaction problem (CSP) approach called MUSE CSP (Multiply SEgmented Constraint Satisfaction Problem). This extension is esp...
Randall A. Helzerman, Mary P. Harper
JAIR
2008
103views more  JAIR 2008»
13 years 8 months ago
ICE: An Expressive Iterative Combinatorial Exchange
We present the design and analysis of the first fully expressive, iterative combinatorial exchange (ICE). The exchange incorporates a tree-based bidding language (TBBL) that is co...
Benjamin Lubin, Adam I. Juda, Ruggiero Cavallo, S&...