125 search results - page 18 / 25 » The Stochastic Machine Replenishment Problem |
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
88
Voted
COLT
2010
Springer
14 years 7 months ago
2010
Springer
We consider the problem of planning in a stochastic and discounted environment with a limited numerical budget. More precisely, we investigate strategies exploring the set of poss...
87
Voted
AAAI
1997
14 years 11 months ago
1997
Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for so...
ICPR
2008
IEEE
15 years 3 months ago
2008
IEEE
The problem of finding the most appropriate subset of features or regressors is the generic challenge of Machine Learning problems like regression estimation or pattern recognitio...
JMLR
2010
14 years 8 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...