159 search results - page 17 / 32 » Module-Based Reinforcement Learning: Experiments with a Real... |
ICML
2005
IEEE
14 years 10 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...
DAGM
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...
IBERAMIA
2010
Springer
13 years 8 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 ...
ICRA
2009
IEEE
14 years 4 months ago
2009
IEEE
— The acquisition and self-improvement of novel motor skills is among the most important problems in robotics. Motor primitives offer one of the most promising frameworks for the...
JFR
2006
13 years 9 months ago
2006
We derive categories directly from robot sensor data to address the symbol grounding problem. Unlike model-based approaches where human intuitive correspondences are sought betwee...