RLDM 2027 - Save the Dates: July 6-9, 2027
Dave Abel
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The 7th Multidisciplinary Conference on
Reinforcement Learning and Decision Making (RLDM2027)
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 sessions, 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
2025 Announcement
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The 5th Multidisciplinary Conference on
Reinforcement Learning and Decision Making (RLDM2025)
June 11-14 2025 at Trinity College Dublin, Ireland
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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 2025 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,
RLDM2025 ORGANIZERS
GENERAL CHAIR
Roshan Cools
PROGRAM CHAIRS
Anne GE Collins
Stefano V. Albrecht
LOCAL CHAIRS
Claire Gillan
Redmond O’Connell
EXECUTIVE COMMITTEE
Yael Niv
Peter Dayan
Cate Hartley
Richard Sutton
Peter Stone
Satinder Singh
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