[RLDM] Save the dates - Reinforcement Learning and Decision Making 2022 - June 8-11

[Roshan Cools]

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The 5th Multidisciplinary Conference on
Reinforcement Learning and Decision Making (RLDM2022)
www.rldm.org

June 8-11 2022 at Brown University, Providence, USA

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Over the last few decades, reinforcement learning and decision making have been the focus of an incredible wealth of research spanning a wide variety of fields including psychology, artificial intelligence, machine learning, operations research, control theory, animal and human neuroscience, economics and ethology. Key to many developments in the field has been interdisciplinary sharing of ideas and findings. The goal of RLDM is to provide a platform for communication among all researchers interested in "learning and decision making over time to achieve a goal". The meeting is characterized by the multidisciplinarity of the presenters and attendees, with cross-disciplinary conversations and teaching and learning being central objectives along with the dissemination of novel theoretical and experimental results.

The main meeting will be single-track, consisting of a mixture of invited and contributed talks, tutorials, and poster sessions. RLDM 2022 will conclude with a half-day of thematically-focused contributed Workshops, which will be run in parallel.

TENTATIVE DATES

Submissions open: December 15, 2021
Submissions close: February 15, 2022

We look forward to seeing you in Providence!

Best,

RLDM2022 ORGANIZERS

GENERAL CHAIRS
Catherine Hartley
Michael Littman

 

PROGRAM CHAIRS
Roshan Cools
Peter Stone

 

LOCAL CHAIRS
Michael Frank
George Konidaris

 

EXECUTIVE COMMITTEE
Yael Niv
Peter Dayan
Satinder Singh
Rich Sutton
Emma Brunskill
Ross Otto

CONFIRMED SPEAKERS:

Josh Tenenbaum (MIT)
Yunzhe Liu (UCL)
Jill O’Reilly (Oxford)
Nao Uchida (Harvard)
Melissa Sharpe (UCLA)
Alexandra Rosati (Michigan)
Frederike Petzschner (Brown)
Oriel Feldman-Hall (Brown)
Scott Niekum (UT Austin)
Satinder Singh Baveja (Michigan and DeepMind)
Stephanie Tellex (Brown)
Martha White (Alberta)
Sonia Chernova (Georgia Tech)
Jeannette Bohg (Stanford)
Jakob Foerster (Facebook AI Research)

 

 

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