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» Explanation-Based Neural Network Learning for Robot Control
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133
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ICMLA
2010
14 years 12 months ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft
ICRA
2006
IEEE
217views Robotics» more  ICRA 2006»
15 years 8 months ago
Complete Coverage Control for Nonholonomic Mobile Robots in Dynamic Environments
— We study the problem of generating continuous steering control for robots to completely cover a bounded region over a finite time. First, we pack the area by disks of minimum ...
Yi Guo, Mohanakrishnan Balakrishnan
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
15 years 3 months ago
On the effects of node duplication and connection-oriented constructivism in neural XCSF
For artificial entities to achieve high degrees of autonomy they will need to display appropriate adaptability. In this sense adaptability includes representational flexibility gu...
Gerard David Howard, Larry Bull
105
Voted
ROBOCUP
2004
Springer
138views Robotics» more  ROBOCUP 2004»
15 years 7 months ago
An Algorithm That Recognizes and Reproduces Distinct Types of Humanoid Motion Based on Periodically-Constrained Nonlinear PCA
Abstract. This paper proposes a new algorithm for the automatic segmentation of motion data from a humanoid soccer playing robot that allows feedforward neural networks to generali...
Rawichote Chalodhorn, Karl F. MacDorman, Minoru As...
IROS
2009
IEEE
164views Robotics» more  IROS 2009»
15 years 8 months ago
Complex networks of simple neurons for bipedal locomotion
— Fluid bipedal locomotion remains a significant challenge for humanoid robotics. Recent bio-inspired approaches have made significant progress by using small numbers of tightl...
Brian F. Allen, Petros Faloutsos