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ICML
2006
IEEE
16 years 7 months ago
PAC model-free reinforcement learning
For a Markov Decision Process with finite state (size S) and action spaces (size A per state), we propose a new algorithm--Delayed Q-Learning. We prove it is PAC, achieving near o...
Alexander L. Strehl, Lihong Li, Eric Wiewiora, Joh...
167
Voted
ICS
2010
Tsinghua U.
16 years 4 months ago
Beyond Equilibria: Mechanisms for Repeated Combinatorial Auctions
: We study the design of mechanisms in combinatorial auction domains. We focus on settings where the auction is repeated, motivated by auctions for licenses or advertising space. W...
Brendan Lucier
ICDCS
2009
IEEE
16 years 4 months ago
On the Impossibility of Maximal Scheduling for Strong Fairness with Interleaving
A strongly fair schedule is one in which tasks that are enabled infinitely often are also executed infinitely often. When tasks execute atomically, a strongly fair scheduler can...
Matthew Lang, Paolo A. G. Sivilotti
ICASSP
2009
IEEE
16 years 1 months ago
Bandwidth adaptive hardware architecture of K-Means clustering for intelligent video processing
K-Means is a clustering algorithm that is widely applied in many elds, including pattern classi cation and multimedia analysis. Due to real-time requirements and computational-cos...
Tse-Wei Chen, Shao-Yi Chien
CBMS
2007
IEEE
16 years 1 months ago
An Unsupervised and Fully-Automated Image Analysis Method for cDNA Microarrays
Microarray gene expression image analysis is a labor-intensive task and requires human intervention since microarray images are contaminated with noise and artifacts while spots a...
Eleni Zacharia, Dimitrios E. Maroulis