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Interpretable experiential learning based on state history and global feedback

Kolonin, Anton
arXiv (All) · Papers
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artificial-intelligencemachine-learning
A new interpretable experiential learning model based on state history and global feedback is presented. It is capable of learning a behavioral model represented by a transition graph between sets of states, with transitions attributed with utility and evidence count. This model is expected to be su
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