Full Papers
All work presented at RLC is published in the associated Reinforcement Learning Journal (RLJ), which is an independent, peer-reviewed journal serving as a primary source of scholarly articles.
Machine Learning/CORE Unranked
RLC 2026
Reinforcement Learning Conference
The Reinforcement Learning Conference (RLC) 2026 is a focused venue for reinforcement learning researchers to present and discuss scholarly work, with all accepted papers published in the peer-reviewed Reinforcement Learning Journal (RLJ). The conference emphasizes in-person interaction and features keynote talks, accepted workshops, and a structured program held at the University of Montreal, Canada.
Key deadlines
Verified September 9, 2026Abstract registration
March 6, 2026
AoE
Full paper
March 6, 2026
AoE
Conference timeline
Submission and decisions
Abstract registrationKey deadline
March 6, 2026 · AoE
Full paperKey deadline
March 6, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Research areas in scope
01
Accepted Workshops
Continual Reinforcement LearningModel-Based Reinforcement Learning in the Era of Generative World ModelsReinforcement Learning and Video GamesReinforcement Learning in Big WorldsReinforcement Learning Beyond Rewards: Towards Scalable General-Purpose AgentsFinding the Frame: A Workshop for Examining Conceptual Frameworks in RLAutomated RL
Policies worth checking twice
- All work presented at RLC is published in the Reinforcement Learning Journal (RLJ).
- Submission deadlines are strictly enforced: abstract deadline on March 1, paper deadline on March 5.
- Decision notifications are sent on May 5.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026