3025 search results - page 70 / 605 » Automatic Programming of Robots Using Genetic Programming |
194
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GECCO
2011
Springer
14 years 5 months ago
2011
Springer
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
112
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EUROGP
1999
Springer
15 years 6 months ago
1999
Springer
Genetic programming is known to be capable of creating designs that satisfy prespecified high-level design requirements for analog electrical circuits and other complex structures...
110
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GECCO
2010
Springer
15 years 7 months ago
2010
Springer
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...
110
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EUROGP
2001
Springer
15 years 6 months ago
2001
Springer
Recent theory work has shown that a Genetic Program (GP) used to produce programs may have output that is bounded above by the GP itself [l]. This paper presents proofs that show t...
108
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GECCO
2006
Springer
15 years 6 months ago
2006
Springer
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...