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
Workshops for the 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 centered on advancing RL research beyond typical large machine learning venues.
Key deadlines
Verified September 9, 2026Full paper
March 14, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
March 14, 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 March 1, paper deadline March 5.
- Decision notifications are sent by May 8 (note: May 5 is listed as an alternate date, but May 8 is the primary).
- Authors of accepted papers will be able to decide which location(s) they present at (this policy is stated for RLC 2027 but reflects a consistent approach).
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026