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Learning Rational Skills for Planning from Demonstrations and Instructions
We present a framework for learning compositional, rational skill models (RatSkills) that support efficient planning and inverse planning for achieving novel goals and recognizing activities.
Measuring few-shot extrapolation with program induction
Program induction lies at the opposite end of the spectrum: programs are capable of extrapolating from very few examples, but we still do not know how to efficiently search for complex programs.
Learning Online Data Association
When an agent interacts with a complex environment, it receives a stream of percepts in which it may detect entities, such as objects or people.
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