In solidarity with #ShutDownSTEM , the organizing committee of the ICML 2020 Workshop on the Theoretical Foundations of Reinforcement Learning has moved the paper submission deadline to June 13, midnight UCT to encourage all submitting authors to participate in the strike. We grieve the deaths of George Floyd, Breonna Taylor, Ahmaud Arbery, David McAtee, and the thousands of Black people to police brutality, which is but a small part of systemic inequality. Black lives matter -- a statement whose very necessity betrays the tragedy - and the urgency - of our present conditions.
In many settings such as education, healthcare, drug design, robotics, transportation, and achieving better-than-human performance in strategic games, it is important to make decisions sequentially. This poses two interconnected algorithmic and statistical challenges: effectively exploring to learn information about the underlying dynamics and effectively planning using this information. Reinforcement Learning (RL) is the main paradigm tackling both of these challenges simultaneously which is essential in the aforementioned applications. Over the last years, reinforcement learning has seen enormous progress both in solidifying our understanding on its theoretical underpinnings and in applying these methods in practice.
This workshop aims to highlight recent theoretical contributions, with an emphasis on addressing significant challenges on the road ahead. Such theoretical understanding is important in order to design algorithms that have robust and compelling performance in real-world applications. As part of the ICML 2020 conference, this workshop will be held virtually. It will feature keynote talks from six reinforcement learning experts tackling different significant facets of RL. It will also offer the opportunity for contributed material (see below the call for papers and our outstanding program committee). The authors of each accepted paper will prerecord a 10-minute presentation and will also appear in a poster session. Finally, the workshop will have a panel discussing important challenges in the road ahead.
University of Washington
Microsoft Research NYC
Research Assistant Professor
Universitat Pompeu Fabra
University of Alberta / DeepMind
University of Alberta
Early Poster Session
Late Poster Session
We thank Hoang M. Le from providing the website template.