CfP: MBRL+WM Workshop at RLC 2026

[Mohamad H Danesh]

Dear RL Community,

We invite you to submit to the MBRL in the Era of Generative World Models workshop at RLC 2026.

While MBRL offers a principled framework for data-efficient policy learning, traditional models struggle with high-dimensional state spaces and compounding transition errors. This workshop focuses on the next frontier: leveraging high-capacity generative world models as learned simulators for robust dynamics modeling, zero-shot planning, and offline policy optimization.

Key Info:

• Submission Deadline: May 30, 2026 (AOE)

• Format: Non-archival, double-blind via OpenReview

• Website & Speaker List: https://worldmodels-rlc.github.io/

If you are researching scalable dynamics, sample-efficient policy extraction, or algorithmic innovations to exploit synthetic experience, we want your submissions!

Best, 

MBRL+WM Team.