Modeling Purposeful Adaptive Behavior with the Principle of Maximum Causal Entropy
Predicting human behavior from a small amount of training examples is a challenging machine learning problem. In this thesis, we introduce the principle of maximum causal entropy, a general technique for applying information theory to decision-theoretic, game-theoretic, and control settings where re...
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| Format: | Others |
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Research Showcase @ CMU
2010
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| Online Access: | http://repository.cmu.edu/dissertations/17 http://repository.cmu.edu/cgi/viewcontent.cgi?article=1015&context=dissertations |