This event is part of Theoretical Advances in Reinforcement Learning and Control View Details

Frontiers in Online Reinforcement Learning

March 30 — April 3, 2026

Description

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This workshop highlights recent advances in online reinforcement learning (RL), with a focus on its connections to emerging technologies like large language models (LLMs). As machine learning systems grow more capable, online RL can further enhance their task specific capabilities.

Participants will explore the evolving RL landscape, discuss its integration with large-scale models, and examine challenges and opportunities at this intersection. Join us to engage with cutting-edge ideas shaping the future of online reinforcement learning.

Organizers

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A Z
Andrea Zanette Carnegie Mellon University
L Y
Lin Yang University of California, Los Angeles (UCLA)

Registration

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