Learning Behavior form Demonstration in Minecraft via Symbolic Similarity Measures
نویسندگان
چکیده
This paper focuses on the challenging problem of learning behavior in a complex environment purely form observation of human performance. Specifically, we explore the performance of a collection of symbolic similarity measures in modeling the behavior of a human performing tasks in the Minecraft video game using learning from demonstration. We also analyze the performance of these measures using four different symbolic representations for the training data.
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