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SyncWorld is an action-conditioned world model that uses visual calibration episodes to learn environment-specific action-to-visual mappings, enabling zero-shot simulation and test-time policy improvement across unseen robotic settings.
This position paper argues that RL researchers need to distinguish between solving simulators and using simulators as a proxy for real deployment, highlighting issues that arise when this distinction is not made.
Formula 1 teams invest millions in driver-in-the-loop simulators with ultra-low latency and high fidelity to replicate real car behavior, enabling drivers to train and develop setups.