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Author

Georg Martius

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Preprint Aug 2026

Better Slots, Better Worlds: Representation Quality&Robustness in Object-Centric World Models

Under unseen distribution shifts, the OCWM with well-bound slots is more robust overall than the end-to-end trained scene-centric LeWM, while DINO-WM, built on similar frozen pretrained features, remains competitive -- pointing to pretrained features as a key contributor to robustness.

Shukrullo Nazirjonov, Sai Prasanna, Anna Manasyan et al. · 0 citations

Forecasting in Offline Reinforcement Learning for Non-stationary Environments

F orecasting in Non-stationary O ffline RL (F ORL), a framework that combines zero-shot forecasting with the agent’s experience, aims to bridge the gap between offline RL and the complexities of real-world, non-stationary environments.

Suzan Ece, Georg Martius, Emre Ugur et al. · 0 citations

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