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AIME
2007
Springer
15 years 3 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
14 years 7 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»
15 years 4 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»
15 years 1 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
15 years 1 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