From Noise to Control: Parameterized Diffusion Policies

In three linesParameterized Diffusion Policy (PDP) conditions diffusion policies on continuous parameters embedded in a learned behavior manifold. The approach enables smooth interpolation between strategies and efficient adaptation to novel constraints without weight updates. Improved performance on multimodal benchmarks in simulated and real-robot experiments.

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