2020 DLRLSS Speakers

The CIFAR Deep Learning and Reinforcement Learning Summer School benefits from the support and involvement of some of the most prominent leaders in the fields of deep learning and reinforcement learning who participate as speakers, year after year.

We are proud to introduce the 2020 Montreal edition speakers.

More speakers are to be confirmed in the coming weeks. 

Marco Baroni

marcbaroni

Language emergence

Yejin Choi

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Alexei Efros

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Chelsea Finn

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Transfer/Meta-RL

Jakob Foerster

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Multi-agent RL

Jessica Hamrick

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Model-Based RL

Katja Hoffmann

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Core RL

Rupam Mahmood

rupam-mahmood

Robotics

Offir Nachum

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Saddle-point optimization
in RL

Andrew Saxe

andrew-saxe

Theory

Angela Schoellig

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Robotics

Adam White

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Blaise Aguera y Arcas

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Neuroscience

Audrey Durand

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