Connectionists: Save the dates: Reinforcement Learning and Decision Making 2027

[Matt Nassar]

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The 7th Multidisciplinary Conference on

Reinforcement Learning and Decision Making (RLDM2027)

www.rldm.org

July 6-9, 2027 at Maison de la Chimie, Paris, France

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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 2027 will
include a half-day of thematically-focused contributed Workshops, which
will be run in parallel. To further facilitate cross-disciplinary
connections, there will be multiple social and networking opportunities.

Important dates and speakers will be announced in a subsequent email.

Best,

RLDM2027 ORGANIZERS

GENERAL CHAIR

Anne GE Collins, University of California Berkeley

PROGRAM CHAIRS

David Abel, Google DeepMind

Matt Nassar, Brown University

LOCAL CHAIRS

Silvia Tulli, ISIR Polytech, Sorbonne Université

Valentin Wyart, École Normale Supérieure de Paris

REVIEW CHAIRS

Özgür Şimşek, University of Bath

Bob Wilson, Georgia Institute of Technology

WORKSHOP CHAIRS

Becket Ebitz, Université de Montréal

Giorgia Ramponi, University of Zurich, ETH & Chalmers University of
Technology

TUTORIAL CHAIRS

Angela Langdon, National Institute of Mental Health

Ian Osband, Google DeepMind

MENTORING CHAIRS

Lilian Weber, Osnabrück University

Benjamin Eysenbach, Princeton University

FUNDRAISING CHAIR

Giuseppe Paolo, Cognizant AI Lab

PUBLICITY CHAIR

Elisa Massi, ETIS Lab, CY Cergy Paris Université

TRAVEL AWARD CHAIR

Heike Stein, ISIR, Sorbonne Université

EXECUTIVE COMMITTEE

Emma Brunskill, Stanford University

Roshan Cools, Radboud University Nijmegen

Will Dabney, Google DeepMind

Nathaniel Daw, Princeton University

Cate Hartley, New York University

Peter Stone, The University of Texas at Austin and Sony
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