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ICML
2006
IEEE
14 years 6 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...
SASO
2007
IEEE
13 years 11 months ago
Leveraging Resource Prediction for Anticipatory Dynamic Configuration
Self-adapting systems based on multiple concurrent applications must decide how to allocate scarce resources to applications and how to set the quality parameters of each applicat...
Vahe Poladian, David Garlan, Mary Shaw, M. Satyana...
GECCO
2006
Springer
447views Optimization» more  GECCO 2006»
13 years 9 months ago
Candlestick stock analysis with genetic algorithms
Candlestick analysis, a form of stock market technical analysis, is well suited for use with a genetic search algorithm. This paper explores an implementation of marrying these tw...
Peter Belford
COMPGEOM
2010
ACM
13 years 10 months ago
Orthogonal range reporting: query lower bounds, optimal structures in 3-d, and higher-dimensional improvements
Orthogonal range reporting is the problem of storing a set of n points in d-dimensional space, such that the k points in an axis-orthogonal query box can be reported efficiently. ...
Peyman Afshani, Lars Arge, Kasper Dalgaard Larsen
SIGMETRICS
2004
ACM
118views Hardware» more  SIGMETRICS 2004»
13 years 10 months ago
Optimizing the quality of scalable video streams on P2P networks
— The volume of multimedia data, including video, served through Peer-to-Peer (P2P) networks is growing rapidly. Unfortunately, high bandwidth transfer rates are rarely available...
Raj Kumar Rajendran, Dan Rubenstein