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» On the Hardness of Approximate Reasoning
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ICCBR
2005
Springer
15 years 5 months ago
CBR for State Value Function Approximation in Reinforcement Learning
CBR is one of the techniques that can be applied to the task of approximating a function over high-dimensional, continuous spaces. In Reinforcement Learning systems a learning agen...
Thomas Gabel, Martin A. Riedmiller
CADE
2001
Springer
15 years 4 months ago
Approximating Dependency Graphs Using Tree Automata Techniques
The dependency pair method of Arts and Giesl is the most powerful technique for proving termination of term rewrite systems automatically. We show that the method can be improved b...
Aart Middeldorp
AIPS
2007
15 years 2 months ago
Cost-Sharing Approximations for h+
Relaxations based on (either complete or partial) ignoring delete effects of the actions provide the basis for some seminal classical planning heuristics. However, the palette of ...
Vitaly Mirkis, Carmel Domshlak
WAOA
2010
Springer
232views Algorithms» more  WAOA 2010»
14 years 9 months ago
Approximation Algorithms for Domination Search
The r-domination search game on graphs is a game-theoretical approach to several graph and hypergraph parameters including treewidth and hypertree width. The task is to identify t...
Fedor V. Fomin, Petr A. Golovach, Dimitrios M. Thi...
FOCS
2004
IEEE
15 years 3 months ago
Optimal Inapproximability Results for Max-Cut and Other 2-Variable CSPs?
In this paper we show a reduction from the Unique Games problem to the problem of approximating MAX-CUT to within a factor of GW + , for all > 0; here GW .878567 denotes the a...
Subhash Khot, Guy Kindler, Elchanan Mossel, Ryan O...