Stochastic Optimal Control Matching
–Neural Information Processing Systems
Stochastic optimal control, which has the goal of driving the behavior of noisy systems, is broadly applicable in science, engineering and artificial intelligence. Our work introduces Stochastic Optimal Control Matching (SOCM), a novel Iterative Diffusion Optimization (IDO) technique for stochastic optimal control that stems from the same philosophy as the conditional score matching loss for diffusion models.
Neural Information Processing Systems
Oct-10-2025, 16:48:44 GMT
- Country:
- Asia > Middle East
- Republic of Türkiye > Karaman Province > Karaman (0.04)
- Europe
- Germany > Bavaria
- Upper Bavaria > Munich (0.04)
- United Kingdom > North Sea
- Southern North Sea (0.04)
- Germany > Bavaria
- Asia > Middle East
- Genre:
- Research Report > Experimental Study (0.92)
- Industry:
- Energy (1.00)
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