Deep Learning and Reinforcement Learning Summer School, Toronto 2018

Deep Learning and Reinforcement Learning Summer School, Toronto 2018

29 Lectures · Jul 24, 2018

About

Deep neural networks are a powerful method for automatically learning distributed representations at multiple levels of abstraction. Over the past decade, they have dramatically pushed forward the state-of-the-art in domains as diverse as vision, language understanding, robotics, game playing, graphics, health care, and genomics. The Deep Learning Summer School (DLSS) covers both the foundations and applications of deep neural networks, from fundamental concepts to cutting-edge research results.

The Reinforcement Learning Summer School (RLSS) covers the basics of reinforcement learning and show its most recent research trends and discoveries, as well as present an opportunity to interact with graduate students and senior researchers in the field.

The 2018 DLSS and the RLSS are hosted by the Canadian Institute For Advanced Research (CIFAR) and the Vector Institute, with participation and support from the Alberta Machine Intelligence Institute and the Institut québécois d’intelligence artificielle (MILA).

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Uploaded videos:

Deep Learning Summer School

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01:24:37

Introduction to Machine Learning

Katherine A. Heller

Oct 11, 2018

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Neural Networks I

Hugo Larochelle

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Autodiff

David Kristjanson Duvenaud

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01:33:51

Neural Networks II

Hugo Larochelle

Oct 11, 2018

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2171 Views

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01:33:54

Advanced Deep Vision

Sanja Fidler

Oct 11, 2018

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01:18:45

RAMP (Practical session)

Balázs Kégl

Oct 11, 2018

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1389 Views

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01:29:36

Generative Models I

David Kristjanson Duvenaud

Oct 11, 2018

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3260 Views

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01:21:23

Generative Models II

Phillip Isola

Oct 11, 2018

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1848 Views

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01:19:01

Interpretability

Been Kim

Oct 11, 2018

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2837 Views

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01:30:51

Theory

Sanjeev Arora

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1976 Views

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01:09:46

Optimization I

Jimmy Ba

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2960 Views

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Optimization II

Jorge Nocedal

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1602 Views

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01:30:39

Recurrent Neural Networks (RNNs)

Yoshua Bengio

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5051 Views

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01:26:03

Language Understanding

Graham Neubig

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1784 Views

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Multimodal Learning

Jamie Kiros

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Computational Neuroscience

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Bayesian Neural Nets

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Deep Learning and Music

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Reinforcement Learning Summer School

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Introduction to RL and TD

Richard S. Sutton

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7625 Views

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Policy Search

Sergey Levine

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Batch RL and ADP

Amir-massoud Farahmand

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1656 Views

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01:22:11

Off-Policy Learning

Martha White

Oct 19, 2018

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2082 Views

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Bandits and Explore/Exploit in RL

Tor Lattimore

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1257 Views

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01:31:48

Temporal Abstraction

Doina Precup

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1534 Views

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01:26:17

Multi-task and Transfer in RL

Emma Brunskill

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1357 Views

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Deep RL

Marc G. Bellemare

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Imitation Learning

Hal Daumé III

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1408 Views

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Safety in RL

Mohammad Ghavamzadeh

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1312 Views

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Multi-agent RL

Michael Bowling

Oct 11, 2018

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1923 Views

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