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The explosion of spatiotemporal data in the physical world requires new deep learning tools to model complex dynamical systems.
Optimal control, reinforcement learning and other optimization-based methods have been widelyapplied to control synthesis for real systems in physics, biology and robotics. However, in many complicate...
The objective of the workshop is to bring together researchers in stochastic dynamical systems, ergodic theory, SPDEs, BSDEs, nonlinear expectations and stochastic controls to interact aiming to stimu...
The aim of the symposium is to bring together specialists of various do- mains of singularity theory and mathematical foundation of complex systems representing very classical aspects of the Fields. W...
The International Conference on Statistical Properties of Nonequilibrium Dynamical Systems will be held in the South University of Science and Technology of China (SUSTC) in Shenzhen, China, from July...
CONFERENCE will be held during December 15-19 at Ying Jie Conference Center, Peking University.

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