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 (also called “wet”). RLDM was previously held in Princeton (2013), Edmonton (2015), Ann Arbor (2017), Montreal (2019), and Providence (2022). The program consists of a mix of invited talks, paper presentations, workshops, tutorials, and social activities.
Registration is open.
The conference will take place on 11 – 14 June in Trinity College Dublin.
Full details are available on the conference website.
ADAPT academic, Professor Claire Gillan is acting as Local Chair for the conference.
