Call for abstracts - Reinforcement Learning and Decision Making 2022 - June 8-11

[Peter Stone]

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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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Ā 

Submissions to RLDM2022 are now being accepted atĀ [[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 āoelearning and decision making over time to achieve a goalāY\.., 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 authorsā(TM) 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the review process and authors are encouraged to include new, unpublished, findings which they do not want to make publicly available.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 toĀ 

[[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)