The RL4VLA workshop will address a diverse range of topics and encourage discussion across key areas, including but not limited to:
RL fine-tuning of multimodal foundation models for robotics
Offline and batch RL for language-conditioned policies
Reward modeling and preference-based RL for embodied agents
Human-in-the-loop reinforcement learning for VLA
Hierarchical and model-based RL for multimodal planning
Sim-to-real transfer in RL-based VLA systems
Safety and robustness in RL-trained language-conditioned agents
Benchmarks for evaluating RL in Vision-Language-Action models
Submission Open: May 12th, 2026
Submission Deadline: June 8th, 2026 (AOE)
Acceptance Notification: June 17th, 2026 (AOE)
Camera-ready submission deadline: June 30th, 2026 (AOE)
Workshop Day: Friday, July 17th, 2026 (Afternoon)
Submission format: the paper must have 4-8 content pages (excluding the references and appendices).
Format: RSS 2026 author kit .
Submission portal: OpenReview.
The review process will be double-blind.
Accepted papers will be presented as posters at the workshop.
For each accepted paper, at least one co-author must register for RSS 2026 and present the work during the poster sessions.
We encourage submissions emphasizing new or in-progress research and forward-thinking ideas.
Early-stage work, open problems, and novel perspectives are welcome.
Previously published work, including main-conference RSS papers, are less encouraged.