Spectral Approaches to Learning Predictive Representations
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must obtain an accurate environment model, and then plan to maximize reward. However, for complex domains, specifying a model by hand can be a time cons...
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| Format: | Others |
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Research Showcase @ CMU
2012
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| Online Access: | http://repository.cmu.edu/dissertations/131 http://repository.cmu.edu/cgi/viewcontent.cgi?article=1132&context=dissertations |