Full papers
Non-archival submissions limited to 4 pages plus references and appendices, submitted via OpenReview.
Machine Learning/CORE Unranked
RLC 2026
Reinforcement Learning Conference 2026 Workshop on Model-based RL in the Era of Generative World Models
The RLC 2026 MBRL+WM Workshop focuses on the intersection of model-based reinforcement learning and generative world models, bringing together researchers to present cutting-edge work on learning, planning, and control in latent spaces. The workshop features invited talks from leading experts and accepts non-archival papers with a best paper award.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Research areas in scope
01
Core Topics
Model-Based RL Algorithms & TheoryPlanning & Search in Learned ModelsExploration & Sample EfficiencyGenerative & Latent World ModelsWorld Models for Sim-to-Real TransferOffline RL & Model-Based Imagination
Policies worth checking twice
- Double-blind review via OpenReview
- Maximum 4 pages plus references and appendices
- Non-archival submissions
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026