Full Papers
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Machine Learning/CORE Unranked
ICRA 2026
ICRA 2026 Workshop on Synthetic Data for Robot Learning
Apr 03 2026Official workshop site Site reachable
The ICRA 2026 SDRL Workshop is a specialized forum focused on Safe and Data-Efficient Reinforcement Learning in robotics, bringing together researchers to present and discuss cutting-edge methods that improve sample efficiency, safety guarantees, and generalization in real-world robotic applications.
Key deadlines
Verified September 9, 2026Full paper
April 17, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
April 17, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short Papers
Preliminary results, novel ideas, or work in progress with clear potential.
Poster Papers
Extended abstracts presented in poster format for interactive discussion.
Research areas in scope
01
Workshop Topics
Safe Reinforcement LearningData-Efficient Reinforcement LearningTransfer and Meta-Learning for RoboticsImitation Learning and Human-in-the-Loop LearningOffline Reinforcement LearningModel-Based Reinforcement LearningReward Design and ShapingExploration StrategiesSimulation-to-Real TransferBenchmarking and Evaluation Frameworks
Policies worth checking twice
- Submissions must be anonymized for double-blind review.
- Papers must not exceed 8 pages for full papers and 4 pages for short papers, excluding references.
- Dual submission to other conferences or journals is not permitted during review.
- All accepted papers must be presented at the workshop by an author.
- Authors must include an AI-use statement in the paper if generative AI tools were used.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026