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AAAI
2008
15 years 9 months ago
Adaptive Treatment of Epilepsy via Batch-mode Reinforcement Learning
This paper highlights the crucial role that modern machine learning techniques can play in the optimization of treatment strategies for patients with chronic disorders. In particu...
Arthur Guez, Robert D. Vincent, Massimo Avoli, Joe...
AIPS
2007
15 years 9 months ago
Monitoring Plan Optimality During Execution
A great deal of research has addressed the problem of generating optimal plans, but these plans are of limited use in circumstances where noisy sensors, unanticipated exogenous ac...
Christian Fritz, Sheila A. McIlraith
ABIALS
2008
Springer
15 years 8 months ago
Multiscale Anticipatory Behavior by Hierarchical Reinforcement Learning
Abstract. In order to establish autonomous behavior for technical systems, the well known trade-off between reactive control and deliberative planning has to be considered. Within ...
Matthias Rungger, Hao Ding, Olaf Stursberg
ATAL
2008
Springer
15 years 8 months ago
Sequential decision making with untrustworthy service providers
In this paper, we deal with the sequential decision making problem of agents operating in computational economies, where there is uncertainty regarding the trustworthiness of serv...
W. T. Luke Teacy, Georgios Chalkiadakis, Alex Roge...
C3S2E
2008
ACM
15 years 8 months ago
Towards a mutation-based automatic framework for evaluating code clone detection tools
In the last decade, a great many code clone detection tools have been proposed. Such a large number of tools calls for a quantitative comparison, and there have been several attem...
Chanchal Kumar Roy, James R. Cordy