DLRL Summer School 2020 - Meta Reinforcement Learning - Chelsea Finn

CIFAR Fellow Chelsea Finn (Stanford University, CIFAR Learning in Machines & Brains) presents on meta reinforcement learning. CIFAR's Deep Learning + Reinforcement Learning (DLRL) Summer School 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. The virtual edition of the DLRL Summer School took place Aug.3 - Aug.7, 2020, welcoming 302 students from across 45 countries. The DLRL Summer School was hosted by CIFAR in partnership with Mila, the Quebec Artificial Intelligence Institute. The event 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, Amii, Mila and the Vector Institute. www.dlrl.ca www.cifar.ca https://mila.quebec

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DLRL Summer School 2020 - What is Intelligence? - Blaise Agüera y Arcas

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Chelsea Finn: Building Robots That Can Do Anything

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S3 E2 Stanford Prof Chelsea Finn: How to build AI that can keep up with an always changing world

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[AUTOML23] A Tutorial on MetaReinforcement Learning