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

Frontiers in Online Reinforcement Learning

David Rubenstein Forum - 1201 E 60th St, Chicago, IL 60637

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.

Poster Session and Lightning Talks

This workshop will include a poster session and lightning talks for early career researchers (including graduate students). In order to propose a poster or a lightning talk, you must first register for the workshop, and then submit a proposal using the form that will become available on this page after you register. You can request to do one, or both. The registration form should not be used to propose a poster or a lightning talk.

The deadline for proposing is Wednesday, March 4, 2026. If your proposal is accepted, you should plan to attend the event in-person.

In-Person Registration

Seats are limited at the venue, which means that in-person registration may be capped prior to the workshop start date. If capacity is reached, a waitlist will be imposed, which the registration form will reflect. Early registration is strongly encouraged.

All in-person registrants must wait to receive an invitation to attend in-person from IMSI before traveling, which generally begin to be sent out 4-6 weeks in advance.

All registrants (online and in-person) will receive zoom links and are welcome to attend online.

Organizers

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

Speakers

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K B
Kianté Brantley Harvard University
B D
Bo Dai GA Tech
Y D
Yaqi Duan New York University
B E
Benjamin Eysenbach Princeton University
N J
Natasha Jacques University of Washington
A K
Aviral Kumar Carnegie Mellon University
A P
Aldo Pacchiano Boston University
A S
Ayush Sekhari Boston University
L S
Laixi Shi Johns Hopkins University
Y S
Yuda Song Carnegie Mellon University
W S
Wen Sun Cornell University
G S
Gokul Swamy Carnegie Mellon University
C S
Csaba Szpezavari Deepmind and University of Alberta
A W
Andrew Wagenmaker University of California, Berkeley
M U
Masatoshi Uehara Evolutionary Scale
Z Y
Zhuoran Yang Yale University
X Z
Xuezhou Zhang Boston University
B Z
Banghua Zhu University of Washington and NVIDIA

Registration

IMSI is committed to making all of our programs and events inclusive and accessible. Contact [email protected] to request disability-related accommodations.

In order to register for this workshop, you must have an IMSI account and be logged in.