AI Institute u0022Real-World Reinforcement Learningu0022 2020
Location: Redmond, Washington, USA
Venue: Microsoft Research Redmond
Building 99/1919
14820 NE 36th St
Redmond, WA 98052
Contact us: msrevent@microsoft.com
The well-being of our teams & community
After a close review of guidance by global health authorities and out of an abundance of caution, we’ve made the difficult decision to cancel the AI Institute “Real-World Reinforcement Learning” 2020 event. The health and safety of our teams and community around the world is our top priority.
Reinforcement Learning has recently enjoyed several notable successes and holds great promise to revolutionize the practice of machine learning by reducing the dependence on labeled examples and directly improving systems as we interact with them. At the same time, Reinforcement Learning algorithms are far from the level of maturity and reliability needed for such real-world deployments and the field faces several obstacles—the reproducibility of results, sample inefficiency for real-world uses, and reward misspecification, to name a few. The goal of this workshop is to bring together folks working on a wide range of topics, both theoretical and empirical, in Reinforcement Learning and its applications to share their perspectives, bolster collaborations, and look for new angles of attack on these challenges.
Program Committee Members
Alekh Agarwal
Matthew Hausknecht
Adith Swaminathan
Debadeepta Dey
Andrey Kolobov
John Langford
Katja Hofmann
Harm van Seijen
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