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» An input-centric paradigm for program dynamic optimizations
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ICML
1996
IEEE
14 years 5 months ago
Sensitive Discount Optimality: Unifying Discounted and Average Reward Reinforcement Learning
Research in reinforcementlearning (RL)has thus far concentrated on two optimality criteria: the discounted framework, which has been very well-studied, and the averagereward frame...
Sridhar Mahadevan
ESA
1998
Springer
108views Algorithms» more  ESA 1998»
13 years 9 months ago
Finding an Optimal Path without Growing the Tree
In this paper, we study a class of optimal path problems with the following phenomenon: The space complexity of the algorithms for reporting the lengths of single-source optimal pa...
Danny Z. Chen, Ovidiu Daescu, Xiaobo Hu, Jinhui Xu
KBSE
1998
IEEE
13 years 9 months ago
Automated Software Test Data Generation for Complex Programs
We report on GADGET, a new software test generation system that uses combinatorial optimization to obtain condition/decision coverage of C/C++ programs. The GADGET system is fully...
Christoph C. Michael, Gary McGraw
CEC
2010
IEEE
13 years 5 months ago
Genetic programming for Expert Systems
— Genetic programming is the usage of the paradigm of survival of the fittest in scientific computing. It is applied to evolve solutions to problems where dependencies between ...
Konrad Sickel, Joachim Hornegger
CORR
2010
Springer
180views Education» more  CORR 2010»
13 years 2 months ago
XSB: Extending Prolog with Tabled Logic Programming
The paradigm of Tabled Logic Programming (TLP) is now supported by a number of Prolog systems, including XSB, YAP Prolog, B-Prolog, Mercury, ALS, and Ciao. The reasons for this ar...
Terrance Swift, David Scott Warren