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» Parameterized Complexity and Approximation Algorithms
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NIPS
2008
15 years 4 months ago
Regularized Policy Iteration
In this paper we consider approximate policy-iteration-based reinforcement learning algorithms. In order to implement a flexible function approximation scheme we propose the use o...
Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csab...
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
15 years 9 months ago
Multiplicative approximations and the hypervolume indicator
Indicator-based algorithms have become a very popular approach to solve multi-objective optimization problems. In this paper, we contribute to the theoretical understanding of alg...
Tobias Friedrich, Christian Horoba, Frank Neumann
ALGORITHMICA
2005
195views more  ALGORITHMICA 2005»
15 years 2 months ago
Bit-Parallel Witnesses and Their Applications to Approximate String Matching
We present a new bit-parallel technique for approximate string matching. We build on two previous techniques. The first one, BPM [Myers, J. of the ACM, 1999], searches for a patte...
Heikki Hyyrö, Gonzalo Navarro
RTSS
2002
IEEE
15 years 8 months ago
Approximate Schedulability Analysis
The schedulability analysis problem for many realistic task models is intractable. Therefore known algorithms either have exponential complexity or at best can be solved in pseudo...
Samarjit Chakraborty, Simon Künzli, Lothar Th...
ICSM
2002
IEEE
15 years 8 months ago
Evaluating Context-Sensitive Slicing and Chopping
We present an empirical evaluation of three contextsensitive slicing algorithms and five context-sensitive chopping algorithms, and compare them to context-insensitive methods. B...
Jens Krinke