[RLDM] Call for abstracts - 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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Submissions to RLDM2022 are now being accepted at https://cmt3.research.microsoft.com/RLDM2022
Deadline:
22 February 2022, 11:59PM PST
Notification of Acceptance: 15 March 2022
We invite extended abstracts for contributed poster presentations and oral
presentations.
We welcome submissions of original research related to “learning and decision
making over time to achieve a goal”, coming from any discipline or disciplines,
describing empirical results from human, animal or animat experiments, and/or
theoretical work, simulations and modeling. Contributions should be aimed at an
interdisciplinary audience, but not at the expense of technical excellence.
This is an abstract-based meeting, with no published conference proceedings. As
such, work that is intended for, or has been submitted to, other conferences or
journals is also welcome, provided that the intent of communication to other
disciplines is clear.
Submissions should consist of a summary (max 2000 characters; text only), and
an extended abstract of between one and four pages (including figures and
references). LaTeX and RTF templates, and sample submissions, are available
here: https://rldm.org/submit/
Note: Only the summary will
be made available in the (electronic) abstract booklets. The extended abstract
will be used for reviewing, and will be available online only pending on
authors’ separate explicit permission. Online availability will have no bearing
on the review process and authors are encouraged to include new, unpublished,
findings which they do not want to make publicly available.
To submit your abstract please go to
https://cmt3.research.microsoft.com/RLDM2022
Submissions will be
reviewed for relevance to the topic and for quality. Exceptional abstracts will
be selected for oral presentations and for poster spotlight presentations.
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)