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» A Model Selection Approach for Local Learning
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ICRA
2010
IEEE
117views Robotics» more  ICRA 2010»
14 years 7 months ago
Learning reliable and efficient navigation with a humanoid
Reliable and efficient navigation with a humanoid robot is a difficult task. First, the motion commands are executed rather inaccurately due to backlash in the joints or foot slipp...
Stefan Oßwald, Armin Hornung, Maren Bennewit...
ATAL
2008
Springer
14 years 12 months ago
Multi-robot Markov random fields
We propose Markov random fields (MRFs) as a probabilistic mathematical model for unifying approaches to multi-robot coordination or, more specifically, distributed action selectio...
Jesse Butterfield, Odest Chadwicke Jenkins, Brian ...
ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
15 years 4 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
15 years 3 months ago
Combining competent crossover and mutation operators: a probabilistic model building approach
This paper presents an approach to combine competent crossover and mutation operators via probabilistic model building. Both operators are based on the probabilistic model buildin...
Cláudio F. Lima, Kumara Sastry, David E. Go...
ICANNGA
2009
Springer
134views Algorithms» more  ICANNGA 2009»
15 years 4 months ago
A Generative Model for Self/Non-self Discrimination in Strings
A statistical generative model is presented as an alternative to negative selection in anomaly detection of string data. We extend the probabilistic approach to binary classificat...
Matti Pöllä