1157 search results - page 75 / 232 » Solving iterated functions using genetic programming |
156
Voted
ICST
2010
IEEE
15 years 2 months ago
2010
IEEE
—Recent advances in automated functional testing of Graphical User Interfaces (GUIs) rely on deriving graph models that approximate all possible sequences of events that may be e...
115
Voted
NIPS
2000
15 years 5 months ago
2000
We propose a method of approximate dynamic programming for Markov decision processes (MDPs) using algebraic decision diagrams (ADDs). We produce near-optimal value functions and p...
115
Voted
GECCO
2003
Springer
15 years 8 months ago
2003
Springer
Many evolutionary computation search spaces require fitness assessment through the sampling of and generalization over a large set of possible cases as input. Such spaces seem par...
133
Voted
HPDC
2007
IEEE
15 years 10 months ago
2007
IEEE
Utility functions can be used to represent the value users attach to job completion as a function of turnaround time. Most previous scheduling research used simple synthetic repre...
141
Voted
ATAL
2009
Springer
15 years 10 months ago
2009
Springer
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...