Overview

The workshop hosts virtual poster sessions, invited talks, contributed talks, and a panel.

The livestream will be held from 17:00 EAT to 00:00 EAT (UTC+3).

Our program has three major components:

Zoom livestream including live Q & A and the panel

2x Virtual zoom poster sessions for discussions

Contributed videos, slides, and abstracts accessible online

Livestream

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You need an ICLR registration to ask questions live using zoom, to enter the chat system, and to participate in the poster sessions. Passwords can be found on the ICLR page. You have received your rocket chat user account in an email from ICLR.

Schedule

The schedule can be added to your calendar and viewed in your timezone using this Google calendar.

All talks include live Q & A.

Times below are in EAT (UTC+3).

Program

Invited Speakers

Abhishek Gupta (UC Berkeley), “Rethinking Supervision in Meta-Reinforcement Learning”

Abhishek Gupta is a 5th year PhD student at UC Berkeley working with Pieter Abbeel and Sergey Levine, where he is interested in algorithms that can leverage reinforcement learning algorithms to solve real world robotics tasks. Currently he has been pursuing the directions of effective reward supervision in reinforcement learning, learning from demonstrations, meta-reinforcement learning and multi-task reinforcement learning. He has also spent time at Google Brain. He is also the recipient of the NDSEG and NSF graduate research fellowships, and several of his works have been presented as spotlight presentations at top-tier machine learning and robotics conference. His work has been covered by multiple popular news outlets such as the New York Times and VentureBeat.

Ishita Dasgupta (Harvard University), “Meta-learning Causal Reasoning”

Ishita Dasgupta is a 5th year graduate student in the physics department at Harvard University, advised by Prof. Sam Gershman. Her research is at the intersection of machine learning and computational cognitive science, both on a) leveraging methods from machine learning to shed light on process-level accounts of how humans make inferences, and b) using frameworks from cognitive science to build a better understanding of black-box machine learning algorithms. Her thesis is on trying to understand how humans infer probabilities in the real world. Specifically, how people might be trading-off the precision/accuracy and the computational costs of various algorithms for statistical inference.

Martha White (University of Alberta), “Understanding Inductive Biases for Betrrl Agents”

Martha White is an Assistant Professor in the Department of Computing Sciences at the University of Alberta, Faculty of Science. Martha is a PI of AMII, the Alberta Machine Intelligence Institute, and a director of RLA, the Reinforcement Learning and Artificial Intelligence Lab at the University of Alberta. Her primary research goal is to develop techniques for adaptive autonomous agents learning on streams of data. Her research focus to achieve this goal is on reinforcement learning and representation learning. In particular, efficient, practical algorithms that enable learning from large amounts of data. She has also been working on off-policy reinforcement learning.



Jeff Clune (OpenAI), “Learning to Continually Learn”

Jeff Clune is a Research Manager at OpenAI and the former Loy and Edith Harris Associate Professor in Computer Science at the University of Wyoming. Previously he was the Senior Research Manager and founding member of Uber AI Labs, which was formed after Uber acquired the startup Geometric Intelligence. Jeff focuses on robotics and training neural networks via deep learning and deep reinforcement learning. He has also researched open questions in evolutionary biology using computational models of evolution, including studying the evolutionary origins of modularity, hierarchy, and evolvability. Prior to becoming a professor, he was a Research Scientist at Cornell University, received a PhD in computer science and an MA in philosophy from Michigan State University, and received a BA in philosophy from the University of Michigan.

Invited Panelists

In addition to invited speakers, we are happy to have the following invited panelists:

Jürgen Schmidhuber (The Swiss AI Lab IDSIA / NNAISENSE)

Jürgen Schmidhuber is the Scientific Director of IDSIA and Professor of Artificial Intelligence. His research group has revolutionised machine learning and AI and also established the fields of metalearning, mathematically rigorous universal AI and recursive self-improvement in universal problem solvers that learn to learn. He also generalized algorithmic information theory and the many-worlds theory of physics, and introduced the concept of Low-Complexity Art, the information age’s extreme form of minimal art. He is the recipient of numerous awards, author of over 350 peer-reviewed papers, and Chief Scientist of the company NNAISENSE. He is also advising various governments on AI strategies.

Panel questions

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Contributed Talks / Spotlights

The zoom meetings, videos, and chats can be found by clicking on the link for each paper.

Poster Sessions

Our virtual poster sessions will take place from 15:00 to 16:00 EAT and from 20:45 to 21:45 EAT. Attendees will be able to join zoom meetings to discuss the research in more detail and switch from one meeting to the other similar to a physical poster session. Click each talk / abstract to obtain the zoom links. We recommend watching the video before joining the session.

Contributed Abstracts

The zoom meetings, videos, and chats can be found by clicking on the link for each paper.

Program committee

Main organizers:

Louis Kirsch

Ignasi Clavera

Kate Rakelly

Jane Wang

Chelsea Finn

Jeff Clune

Thanks to all of our reviewers:

Alexandre Galashov

Andrei Rusu

Ashvin Nair

Aviral Kumar

Bradly Stadie

Brandon Schoenfeld

Charles Blundell

Devendra Singh Chaplot

Dumitru Erhan

Dushyant Rao

Haoran Tang

Hugo Jair Escalante

Jakub Sygnowski

Jan Humplik

Jessica Hamrick

Karol Hausman

Kelvin Xu

Krsto Prorokoviƒá

Kyle Hsu

Luisa Zintgraf

Marc Pickett

Marcin Andrychowicz

Marta Garnelo

Maximilian Igl

Misha Denil

Parminder Bhatia

Piotr Mirowski

Sayna Ebrahimi

Tin Ho

Tom Schaul

Vitchyr Pong