377 search results - page 3 / 76 » Explanation-Based Neural Network Learning for Robot Control |
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
—This paper proposes a new architecture for robot control. A test scenario is outlined to test the proposed system and enable a comparison with an existing system, which is able ...
EVOW
2003
Springer
13 years 11 months ago
2003
Springer
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...
ICANNGA
2007
Springer
13 years 7 months ago
2007
Springer
Neural networks are a popular technique for learning the adaptive control of non-linear plants. When applied to the complex control of android robots, however, they suffer from se...
NN
2010
Springer
13 years 16 days ago
2010
Springer
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
CEC
2010
IEEE
13 years 6 months ago
2010
IEEE
For any embodied, mobile, autonomous agent it is essential to control its actuators appropriately for the faced task. This holds for natural organisms as well as for robots. If sev...