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IJCNN
2000
IEEE
15 years 4 months ago
On Derivation of MLP Backpropagation from the Kelley-Bryson Optimal-Control Gradient Formula and Its Application
The well-known backpropagation (BP) derivative computation process for multilayer perceptrons (MLP) learning can be viewed as a simplified version of the Kelley-Bryson gradient f...
Eiji Mizutani, Stuart E. Dreyfus, Kenichi Nishio
JFR
2006
108views more  JFR 2006»
14 years 11 months ago
Learning in a hierarchical control system: 4D/RCS in the DARPA LAGR program
The Defense Applied Research Projects Agency (DARPA) Learning Applied to Ground Vehicles (LAGR) program aims to develop algorithms for autonomous vehicle navigation that learn how...
James S. Albus, Roger Bostelman, Tommy Chang, Tsai...
108
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ICML
2007
IEEE
16 years 14 days ago
Reinforcement learning by reward-weighted regression for operational space control
Many robot control problems of practical importance, including operational space control, can be reformulated as immediate reward reinforcement learning problems. However, few of ...
Jan Peters, Stefan Schaal
97
Voted
CEC
2010
IEEE
15 years 24 days ago
Adaptive learning particle swarm optimizer-II for global optimization
This paper presents an updated version of the adaptive learning particle swarm optimizer (ALPSO) [6], we call it ALPSO-II. In order to improve the performance of ALPSO on multi-mod...
Changhe Li, Shengxiang Yang
74
Voted
IROS
2006
IEEE
100views Robotics» more  IROS 2006»
15 years 5 months ago
Gait Generation for Passive Running via Iterative Learning Control
Abstract— This paper proposes a novel framework to generate optimal passive gait trajectories for a planar one-legged hopping robot via iterative learning control. The proposed m...
Satoshi Satoh, Kenji Fujimoto, Sang-Ho Hyon