CONGRATULATIONS TO THE WINNERS OF THE ‘BEST PAPER’ AWARD:

Hyperbolic Discounting and Learning over Multiple Horizons

Liam Fedus, Carles Gelada, Yoshua Bengio, Marc G. Bellemare

Hugo Larochelle

A distributional code for value in dopamine-based reinforcement learning

Will Dabney, Zeb Kurth-Nelson, Naoshige Uchida, Clara Kwon Starkweather

Demis Hassabis, Remi Munos, Matthew Botvinick

Schedule at a Glance

Program Brochure

Conference Sponsors

Talk and Poster Abstracts

Reinforcement learning and decision making have been the focus 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. RLDM is the only conference that brings all these communities together.

The focus of the conference can be broadly construed as decision making over time to achieve a goal. Our aim is to create a recurring meeting 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.

To ensure that you receive future announcements about RLDM please join our mailing list at http://tinyurl.com/RLDMlist (you must log in to google to see the “join list” button, and choose “all email” from the options at the bottom).