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ICRA
2010
IEEE
130views Robotics» more  ICRA 2010»
13 years 4 months ago
A distributed strategy for gait adaptation in modular robots
Abstract— In this paper we study online gait optimization for modular robots. The learning strategy we apply is distributed, independent on robot morphology, and easy to implemen...
David Johan Christensen, Ulrik Pagh Schultz, Kaspe...
CHI
2002
ACM
14 years 6 months ago
Movement model, hits distribution and learning in virtual keyboarding
In a ten-session experiment, six participants practiced typing with an expanding rehearsal method on an optimized virtual keyboard. Based on a large amount of in-situ performance ...
Shumin Zhai, Alison E. Sue, Johnny Accot
ISCA
2006
IEEE
138views Hardware» more  ISCA 2006»
13 years 11 months ago
Learning-Based SMT Processor Resource Distribution via Hill-Climbing
The key to high performance in Simultaneous Multithreaded (SMT) processors lies in optimizing the distribution of shared resources to active threads. Existing resource distributio...
Seungryul Choi, Donald Yeung
IJAR
2010
130views more  IJAR 2010»
13 years 4 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
IROS
2006
IEEE
144views Robotics» more  IROS 2006»
13 years 11 months ago
Estimating Probability Distribution with Q-learning for Biped Gait Generation and Optimization
— A new biped gait generation and optimization method is proposed in the frame of Estimation of Distribution Algorithms (EDAs) with Q-learning method. By formulating the biped ga...
Lingyun Hu, Changjiu Zhou, Zengqi Sun