Past Events

Faculty Candidate Talk

Neural Architectures for Prediction and Planning

 

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Friday, February 23, 2018, 10:30am

 

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

Abstract: 

Organization

New York University