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AIME
2007
Springer
14 years 1 months ago
Variable Selection for Optimal Decision Making
This paper discusses variable selection for medical decision making; in particular decisions regarding when to provide treatment and which treatment to provide. Current variable se...
Lacey Gunter, Ji Zhu, Susan Murphy
ICMLA
2010
13 years 4 months ago
Incremental Learning of Relational Action Rules
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
Christophe Rodrigues, Pierre Gérard, C&eacu...
ISCA
2008
IEEE
137views Hardware» more  ISCA 2008»
14 years 1 months ago
Self-Optimizing Memory Controllers: A Reinforcement Learning Approach
Efficiently utilizing off-chip DRAM bandwidth is a critical issue in designing cost-effective, high-performance chip multiprocessors (CMPs). Conventional memory controllers deli...
Engin Ipek, Onur Mutlu, José F. Martí...
GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
13 years 11 months ago
Classifier systems that compute action mappings
The learning in a niche based learning classifier system depends both on the complexity of the problem space and on the number of available actions. In this paper, we introduce a ...
Pier Luca Lanzi, Daniele Loiacono
ECTEL
2006
Springer
13 years 11 months ago
The User as Prisoner: How the Dilemma Might Dissolve
Abstract. Content objects are essential links between Knowledge Management and E-Learning systems. Therefore content authoring and sharing is an important, interdisciplinary topic ...
Andrea Kohlhase