Optimal Control

An efficient data-driven distributionally robust MPC leveraging linear programming
This paper presents a distributionally robust data-driven model predictive control (MPC) framework for discrete-time linear systems …
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Distributional reinforcement learning for inventory management in multi-echelon supply chains
Reinforcement Learning (RL) is an effective method to solve stochastic sequential decision-making problems. This is a problem …
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Neural ODEs as Feedback Policies for Nonlinear Optimal Control
Neural ordinary differential equations (Neural ODEs) define continuous time dynamical systems with neural networks. The interest in …
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