360 search results - page 24 / 72 » Combining Learned Discrete and Continuous Action Models |
115
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ICDM
2005
IEEE
15 years 10 months ago
2005
IEEE
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
160
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GECCO
2007
Springer
15 years 10 months ago
2007
Springer
Schulenburg [15] first proposed the idea to model different trader types by supplying different input information sets to a group of homogenous LCS agent. Gershoff [12] investigat...
143
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
145
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ICRA
2010
IEEE
15 years 2 months ago
2010
IEEE
Abstract— To compute collision-free and dynamicallyfeasibile trajectories that satisfy high-level specifications given in a planning-domain definition language, this paper prop...
127
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WSC
1997
15 years 5 months ago
1997
Outcomes of this modeling research are the ability to facilitate comparisons of investment alternatives or strategies; regarding primary targets, possible annual revenues, promoti...