Connectionists: [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are encouraged to include new, unpublished, findings which they do not want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)
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