CS Events
Faculty Candidate TalkNeural Architectures for Prediction and Planning |
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Friday, February 23, 2018, 10:30am |
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Learning to predict how an environment will evolve and the consequences of one's actions is an important ability for autonomous agents, and can enable planning with relatively few interactions with the environment which may be slow or costly. However, lea
Speaker: Mikael Henaff
Bio
Mikael Henaff is a fifth-year Ph.D student in computer science at New York University, advised by Yann LeCun. His current research interests are centered around learning predictive models of the environment, model-based reinforcement learning and memory-a
Location : CoRE 301
Committee:
Gerard de Melo
Event Type: Faculty Candidate Talk
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Organization:
New York University