176 search results - page 9 / 36 » A fractal representation for real optimization |
80
Voted
AAAI
1993
14 years 11 months ago
1993
This paper analyzes the complexity of on-line reinforcement learning algorithms, namely asynchronous realtime versions of Q-learning and value-iteration, applied to the problem of...
CGF
2005
14 years 10 months ago
2005
Current surface-based methods for interactive freeform editing of high resolution 3D models are very powerful, but at the same time require a certain minimum tessellation or sampl...
88
Voted
APIN
2000
14 years 10 months ago
2000
Genetic algorithms are adaptive methods based on natural evolution that may be used for search and optimization problems. They process a population of search space solutions with t...
102
Voted
AAAI
2006
14 years 11 months ago
2006
DTGolog, a decision-theoretic agent programming language based on the situation calculus, was proposed to ease some of the computational difficulties associated with Markov Decisi...
105
Voted
GECCO
1999
Springer
15 years 2 months ago
1999
Springer
Genetic programming makes it possible to automatically search the space of possible programs. First we evolved a behavior-based control architecture using computer simulations. Th...