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11:00 AM

CIS Seminar: “Towards Generalization and Efficiency in Reinforcement Learning”

February 22 at 11:00 AM - 12:00 PM
Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street
Philadelphia, PA 19104 United States
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Abstract: In classic supervised machine learning, a learning agent behaves as a passive observer: it receives examples from some external environment which it has no control over and then makes predictions. Reinforcement Learning (RL), on the other hand, is fundamentally interactive : an autonomous agent must learn how to behave in an unknown and possibly […]

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