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» On the balancing control of humanoid robot
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AUSAI
2004
Springer
14 years 1 months ago
A Dynamic Allocation Method of Basis Functions in Reinforcement Learning
In this paper, we propose a dynamic allocation method of basis functions, an Allocation/Elimination Gaussian Softmax Basis Function Network (AE-GSBFN), that is used in reinforcemen...
Shingo Iida, Kiyotake Kuwayama, Masayoshi Kanoh, S...
NN
2010
Springer
125views Neural Networks» more  NN 2010»
13 years 6 months ago
Parameter-exploring policy gradients
We present a model-free reinforcement learning method for partially observable Markov decision problems. Our method estimates a likelihood gradient by sampling directly in paramet...
Frank Sehnke, Christian Osendorfer, Thomas Rü...
ICRA
1999
IEEE
114views Robotics» more  ICRA 1999»
13 years 12 months ago
An Effective Method to Reduce Inventory in Job Shops
Inventory plays a major role in deciding the overall manufacturing costs, and a good scheduling system should balance the on-time delivery of products versus low work-in-process (W...
Peter B. Luh, Xiaohui Zhou, Robert N. Tomastik
EAAI
2007
125views more  EAAI 2007»
13 years 7 months ago
Nearly optimal neural network stabilization of bipedal standing using genetic algorithm
In this work, stability control of bipedal standing is investigated. The biped is simplified as an inverted pendulum with a foot-link. The controller consists of a general regres...
Reza Ghorbani, Qiong Wu, G. Gary Wang
GECCO
2009
Springer
14 years 9 days ago
NEAT in increasingly non-linear control situations
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...
Matthias J. Linhardt, Martin V. Butz