Deep Learning and Reinforcement Learning Summer School 2020
July 29 – August 6, 2020
About the 2020 Deep Learning and Reinforcement Learning School
In 2005, CIFAR’s Learning in Machines & Brains program hosted its first Deep Learning and Reinforcement Learning Summer School in Toronto with the goal of fostering the next generation of AI researchers. Many of the former students are now leaders at some of the top tech firms and university labs.
Today, the DLRL Summer School is a part of both the CIFAR Learning in Machines & Brains program and CIFAR Pan-Canadian AI Strategy’s National Program of Activities, and is delivered in partnership with Canada’s three national AI Institutes, Mila, Amii and the Vector Institute.
This year’s DLRL Summer School happens July 29 to August 6, 2020 in Montreal, Quebec, Canada. The event brings together graduate students, post-docs and professionals to cover the foundational research, new developments, and real-world applications of deep learning and reinforcement learning. Participants learn directly from world-renowned researchers and lecturers.
Related extracurricular activities will include an AI Career Fair, industry and partner-sponsored events, as well as tourism events.
Deep Learning Summer School (DLSS)
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 DLSS will cover both the foundations and applications of deep neural networks, from fundamental concepts to leading-edge research results.
Reinforcement Learning Summer School (RLSS)
Reinforcement Learning is a family of approaches for developing systems that learn optimal behaviour through interaction with an environment. In recent years, reinforcement learning has seen success as an essential component of Deep Reinforcement Learning, which has helped AI researchers achieve previously unheard of results in games like Go and in the development of autonomous vehicles. The RLSS will cover 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.
Applications for the DLRL Summer School open in January 2020.
To receive updates about the DLRL Summer School, please sign up for our newsletter:
Please note that you receive an opt-in email to confirm your subscription. If you do not receive an opt-in email, please check your junk folder.
Located in the heart of Quebec’s Artificial Intelligence ecosystem, Mila is a community of 450 researchers specializing in machine learning and dedicated to scientific excellence and innovation. Our mission is to be a global pole for scientific advances that inspires innovation and the development of AI for the benefit of all.