RLC Logo RLC 2026
AUG 15-18, 2026 • MONTREAL, CA

REINFORCEMENT
LEARNING
CONFERENCE

Join the global community of researchers and practitioners advancing the frontiers of reinforcement learning.

About RLC

The Reinforcement Learning Conference (RLC) is the premier interdisciplinary venue for RL research. We bring together experts from academia and industry to discuss the latest advancements in theory, algorithms, and applications.

This year, we gather in the vibrant city of Montreal, known for its rich AI ecosystem and cultural heritage. RLC 2026 will feature keynote talks, workshops, and tutorials designed to foster collaboration and innovation.

Key Dates (2026)

Submission Opens FEB 17
Abstract Deadline MAR 01
Paper Deadline MAR 05
Decision Notification MAY 08
Conference AUG 15 - 18

Keynote Speakers

World-class experts leading the field of Reinforcement Learning.

Rich Sutton

Rich Sutton

Keynote

University of Alberta

C. Dale Schuurmans

C. Dale Schuurmans

Keynote

University of Alberta

Peter Dayan

Peter Dayan

Keynote

MPI for Biological Cybernetics

Leslie Kaelbling

Leslie Kaelbling

Keynote

MIT

Michael Littman

Michael Littman

Keynote

Brown University

Joelle Pineau

Joelle Pineau

Keynote

McGill University

Supported By

2026 Location: Université de Montréal

Join us in one of the world's leading AI research hubs.

Université de Montréal campus Montréal cityscape Montréal architecture Montréal neighborhood Montréal scenery Montréal landmark