CS Events Monthly View

Faculty Candidate Talk

Neural Architectures for Prediction and Planning


Download as iCal file

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


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


Gerard de Melo

Event Type: Faculty Candidate Talk



New York University