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NIPS
1993
13 years 6 months ago
Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
Christopher G. Atkeson
AIPS
1994
13 years 6 months ago
A Planner with Quality Goal and Its Speed-up Learning for Optimization Problem
Aimsof traditional planners had beenlimited to finding a sequenceof operators rather than finding an optimal or neax-optimalfinal state. Consequent]y, the performanceimprovementsy...
Masahiko Iwamoto
IJCNN
2007
IEEE
13 years 11 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
PACT
2005
Springer
13 years 10 months ago
Optimal Behavior of a Moving Creature in the Cellular Automata Model
The goal of our investigation is to find automatically the best rule for a cell in the cellular automata model. The cells are either of type Obstacle, Empty or Creature. Only Crea...
Mathias Halbach, Rolf Hoffmann
ACRI
2004
Springer
13 years 10 months ago
Optimizing the Behavior of a Moving Creature in Software and in Hardware
We have investigated a problem where the goal is to find automatically the best rule for a cell in the cellular automata model. The cells are either of type OBSTACLE, EMPTY or CRE...
Mathias Halbach, Wolfgang Heenes, Rolf Hoffmann, J...