43 search results - page 2 / 9 » Training Reinforcement Neurocontrollers Using the Polytope A... |
NCA
2010
IEEE
13 years 4 months ago
2010
IEEE
The Support Vector Machine (SVM) is an interesting classifier with excellent power of generalization. In this paper, we consider applying the SVM to semi-supervised learning. We p...
IBERAMIA
2010
Springer
13 years 4 months ago
2010
Springer
Reinforcement Learning is commonly used for learning tasks in robotics, however, traditional algorithms can take very long training times. Reward shaping has been recently used to ...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
We consider the task of driving a remote control car at high speeds through unstructured outdoor environments. We present an approach in which supervised learning is first used to...
ICMLA
2010
13 years 3 months ago
2010
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
ECML
2003
Springer
13 years 10 months ago
2003
Springer
Due to the unavoidable fact that a robot’s sensors will be limited in some manner, it is entirely possible that it can find itself unable to distinguish between differing state...