360 search results - page 36 / 72 » Combining Learned Discrete and Continuous Action Models |
157
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NIPS
2004
15 years 5 months ago
2004
Multiple realizations of continuous-valued time series from a stochastic process often contain systematic variations in rate and amplitude. To leverage the information contained i...
152
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SARA
2009
Springer
15 years 11 months ago
2009
Springer
MINLP problems are hard constrained optimization problems, with nonlinear constraints and mixed discrete continuous variables. They can be solved using a Branch-and-Bound scheme c...
162
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IJHIS
2006
15 years 4 months ago
2006
In this paper, a new evolutionary computing model, called CLA-EC, is proposed. This model is a combination of a model called cellular learning automata (CLA) and the evolutionary ...
155
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IJCAI
2007
15 years 5 months ago
2007
A key problem in playing strategy games is learning how to allocate resources effectively. This can be a difficult task for machine learning when the connections between actions a...
137
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AI
1998
Springer
15 years 8 months ago
1998
Springer
This paper presents and evaluates sequential instance-based learning (SIBL), an approach to action selection based upon data gleaned from prior problem solving experiences. SIBL le...