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Preprint Sep 2026

Forced-Term Modeling in the Koopman Framework for Linear Operator Learning in Nonlinear Dynamical Systems

Correlation-Basis enhanced DMD is introduced, a data-driven method whose goal is to learn an effective autonomous linear operator for periodic nonlinear dynamics, used to absorb nonlinear components that cannot be represented by the learned linear operator.

Paolo Climaco, J. Garcke, Xenia F. Gerloff · 0 citations
Preprint Aug 2026

Diffusion Policies for Short-Horizon Planning in Robot Crowd Navigation

Planning Diffusion Policy Optimization is proposed, an offline-to-online reinforcement-learning framework that uses a diffusion policy to generate short-horizon action chunks for crowd navigation and obtains an improved success rate over strong baselines and ablations demonstrate that action chunks are especially impor...

Wen-Dong Li, J. Garcke · 0 citations

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