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CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
14 years 2 months ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
14 years 4 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
ISVC
2007
Springer
14 years 4 months ago
Learning to Recognize Complex Actions Using Conditional Random Fields
Surveillance systems that operate continuously generate large volumes of data. One such system is described here, continuously tracking and storing observations taken from multiple...
Christopher I. Connolly
ATAL
2005
Springer
14 years 3 months ago
Enforceable social laws
In this paper we study the enforcement of social laws in artificial social systems using a control system. We define the enforceable social law problem as an extension of Tennen...
Guido Boella, Leendert W. N. van der Torre
CCS
2009
ACM
14 years 5 months ago
As-awareness in Tor path selection
Tor is an anonymous communications network with thousands of router nodes worldwide. An intuition reflected in much of the literature on anonymous communications is that, as an a...
Matthew Edman, Paul F. Syverson