443 search results - page 33 / 89 » Lazy learning for control design |
GECCO
2009
Springer
14 years 7 days ago
2009
Springer
Evolution of neural networks, as implemented in NEAT, has proven itself successful on a variety of low-level control problems such as pole balancing and vehicle control. Nonethele...
INFORMATICALT
2002
13 years 7 months ago
2002
An adaptive control scheme for mechanical manipulators is proposed. The control loop essentially consists of a network for learning the robot's inverse dynamics and on-line ge...
CHI
2011
ACM
12 years 11 months ago
2011
ACM
Emerging robotic technologies are enabling the control of individual seats on rollercoasters and other thrill rides. We explore the potential of breathing as an effective and enga...
GECCO
2003
Springer
14 years 25 days ago
2003
Springer
Continuous Time Recurrent Neural Networks (CTRNNs) have previously been proposed as an enabling paradigm for evolving analog electrical circuits to serve as controllers for physica...
ICML
2000
IEEE
14 years 8 months ago
2000
IEEE
This paper presents a general method to derive tight rates of convergence for numerical approximations in optimal control when we consider variable resolution grids. We study the ...