Save the dates: July 6-9, 2027
Location: Maison de la Chimie, Paris, France
Details coming soon!
About RLDM
RLDM is an interdisciplinary, non-archival conference about learning and decision making in humans, animals, and algorithms, with a particular focus on approaches based on reinforcement learning. RLDM is unique in its effort to bring together researchers working in/with reinforcement learning from two broadly-defined communities: artificial intelligence, machine learning, autonomous systems, robotics (also called “dry”); and cognitive science, neuroscience, psychology, behavioural economics, ethology (also called “wet”). RLDM was previously held in Princeton (2013), Edmonton (2015), Ann Arbor (2017), Montreal (2019), Providence (2022) and Dublin (2025). The program consists of a mix of invited talks, contributed talks, poster presentations, workshops, tutorials, and social activities.
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
Poster & Spotlight Chair
TBD
Social Chair
TBD
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
The RLDM logo was designed by Massimiliano Tamborski
