Training AI agents to solve unfamiliar tasks
Oct 1, 2018
Summary
Introduced composable planning as a new approach to building AI agents capable of solving unfamiliar tasks. This method trains agents on a set of simple, related tasks within a given environment to enable them to perform longer, more complex tasks by learning an environment model based on assigned attributes and then using this model to plan novel tasks. This research aims to create more versatile AI agents beyond single-purpose systems.
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