Guidance-first diffusion training, which trains and freezes the value guidance before the policy, improves sample efficiency and enables cross-algorithm reuse of guidance modules in offline RL.
Hydrodynamic modeling of heavy-ion collisions
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abstract
This contribution presents a theoretical overview of hydrodynamic modelling of heavy-ion collisions, with highlights on some recent developments. In particular, the formulation of anisotropic hydrodynamics, the role of hydrodynamic fluctuations, and the non-linear coupling of flow coefficients will be discussed.
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cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
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Modular Diffusion Policy Training: Decoupling and Recombining Guidance and Diffusion for Offline RL
Guidance-first diffusion training, which trains and freezes the value guidance before the policy, improves sample efficiency and enables cross-algorithm reuse of guidance modules in offline RL.