ICML 2024
Skip to yearly menu bar Skip to main content


Aligning Reinforcement Learning Experimentalists and Theorists

Antoine Moulin · Giorgia Ramponi · Dirk van der Hoeven · Alberto Maria Metelli · Audrey Huang · Felix Berkenkamp · Francesco Trovò · Csaba Szepesvari · Alizée Pace

Schubert 1 - 3
[ Abstract ] Workshop Website
Fri 26 Jul, midnight PDT

Reinforcement learning has evolved into a dynamic and expansive field, attracting both theorists and experimentalists. While theorists and experimentalists in reinforcement learning share a common interest in advancing the field, their research objectives, methodologies, and challenges sometimes diverge significantly. This workshop aims to bridge this gap by bringing them closer together and to shed light on recent developments and synergies in both communities.

Live content is unavailable. Log in and register to view live content