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. 

Shipra Agrawal

shipra-agrawal

Bandits

Blaise Agüera y Arcas

portrait-blaise

Neuroscience

Marco Baroni

marcbaroni

Language emergence

Yoshua Bengio

yoshua-bengio_credit-amelie-philibert

Causality

Diana Borsa

diana-borsa

Transfer/Meta-RL

Jackie Cheung

mila_portraits_21_jacki-cheung_vertical

NLP

Kyunghyun Cho

lmb_kyunghyuncho

NLP

Audrey Durand

mila_portraits_10_audrey_durand_horizontal

Bandits

Chelsea Finn

chelseafinn

Transfer/Meta-RL

Jacob Foerster

jakob-foerster

Multi-agent RL

Geoffrey Gordon

geoff-360x360

Function approximation and representation learning in RL

Will Hamilton

will_hamilton

Graphs

Jessica Hamrick

jessica-hamrick

Model-Based RL

Katja Hofmann

katja-hofmann-square-1-1024x1024

Core RL

Sham Kakade

sham-kakade

Reinforcement Learning: Theory and Algorithm

Hugo Larochelle

hugo_larochelle

Meta-Learning

Timothy Lilicrap

timothy-lillicrap

Temporal Value Transport

Ofir Nachum

ofir-nachum-2

Saddle-point optimization in RL

Rupam Mahmood

rupam-mahmood

Robotics

Ioannis Mitlagkas

ioannis-headshot

Theory

Ian Osband

ianosband

Exploration in RL

Blake Richards

mila_portraits_39_blake-richards_vertical

Neuroscience

Andrew Saxe

andrew-saxe

Theory

Angela Schoellig

angela-schoelling

Robotics

Erin Talvitie

s200_erin.talvitie

Model-Based RL

Adam White

adamwhite

Core RL

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