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ESANN
2008
15 years 8 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...
ICTAI
2006
IEEE
16 years 20 days ago
Finding Crucial Subproblems to Focus Global Search
Traditional global search heuristics to solve constraint satisfaction problems focus on properties of an individual variable that mandate early search attention. If, however, one ...
Susan L. Epstein, Richard J. Wallace
CONIELECOMP
2005
IEEE
16 years 7 days ago
Approximate Searching on Compressed Text
The approximate searching problem on compressed text tries to find all the matches of a pattern in a compressed text, without decompressing it and considering that the match of th...
Carlos Avendaño Pérez, Claudia Fereg...
ADC
2004
Springer
79views Database» more  ADC 2004»
16 years 1 days ago
Performance and Cost Tradeoffs in Web Search.
Web search engines crawl the web to fetch the data that they index. In this paper we re-examine that need, and evaluate the network costs associated with data acquisition, and alt...
Nick Craswell, Francis Crimmins, David Hawking, Al...
COCO
2004
Springer
79views Algorithms» more  COCO 2004»
16 years 21 hour ago
Relativized NP Search Problems and Propositional Proof Systems
An NP search problem is the problems of finding a witness to the given NP predicate, and TFNP is the class of total NP search problems. TFNP contains a number of subclasses conta...
Josh Buresh-Oppenheim, Tsuyoshi Morioka