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» Decision Tree Pruning as a Search in the State Space
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ESANN
2008
13 years 9 months ago
Learning to play Tetris applying reinforcement learning methods
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
Alexander Groß, Jan Friedland, Friedhelm Sch...
LION
2007
Springer
192views Optimization» more  LION 2007»
14 years 1 months ago
Learning While Optimizing an Unknown Fitness Surface
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Roberto Battiti, Mauro Brunato, Paolo Campigotto
CAV
2009
Springer
184views Hardware» more  CAV 2009»
14 years 8 months ago
Monotonic Partial Order Reduction: An Optimal Symbolic Partial Order Reduction Technique
Abstract. We present a new technique called Monotonic Partial Order Reduction (MPOR) that effectively combines dynamic partial order reduction with symbolic state space exploration...
Vineet Kahlon, Chao Wang, Aarti Gupta
ICDM
2008
IEEE
129views Data Mining» more  ICDM 2008»
14 years 1 months ago
Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular Expressions
In this paper we study the problem of mining frequent sequences satisfying a given regular expression. Previous approaches to solve this problem were focusing on its search space,...
Roberto Trasarti, Francesco Bonchi, Bart Goethals
ICFEM
2009
Springer
14 years 2 days ago
An Empirical Study of Structural Constraint Solving Techniques
Structural constraint solving allows finding object graphs that satisfy given constraints, thereby enabling software reliability tasks, such as systematic testing and error recove...
Junaid Haroon Siddiqui, Sarfraz Khurshid