
An integrated reinforcement learning and model predictive control framework is proposed to efficiently solve finite-horizon optimal control problems in mixed-logical dynamical systems.


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integrating-reinforcement-learning-and-model-predictive-control-for-efficient-optimization-of-mixed-logical-dynamical-systems


Integrating Reinforcement Learning and Model Predictive Control for Efficient Optimization of Mixed-Logical Dynamical Systems
