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02/24/2023
Deep active learning for nonlinear system identification
The exploding research interest for neural networks in modeling nonlinea...
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01/04/2023
Learning-based MPC from Big Data Using Reinforcement Learning
This paper presents an approach for learning Model Predictive Control (M...
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05/18/2022
Bridging the gap between QP-based and MPC-based RL
Reinforcement learning methods typically use Deep Neural Networks to app...
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04/26/2022
Interpretable Battery Cycle Life Range Prediction Using Early Degradation Data at Cell Level
Battery cycle life prediction using early degradation data has many pote...
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03/25/2022
Quasi-Newton Iteration in Deterministic Policy Gradient
This paper presents a model-free approximation for the Hessian of the pe...
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11/07/2021
Optimization of the Model Predictive Control Meta-Parameters Through Reinforcement Learning
Model predictive control (MPC) is increasingly being considered for cont...
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04/06/2021
Approximate Robust NMPC using Reinforcement Learning
We present a Reinforcement Learning-based Robust Nonlinear Model Predict...
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04/06/2021
MPC-based Reinforcement Learning for Economic Problems with Application to Battery Storage
In this paper, we are interested in optimal control problems with purely...
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02/22/2021
Reinforcement Learning of the Prediction Horizon in Model Predictive Control
Model predictive control (MPC) is a powerful trajectory optimization con...
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02/02/2021
Stability-Constrained Markov Decision Processes Using MPC
In this paper, we consider solving discounted Markov Decision Processes ...
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12/14/2020
Safe Reinforcement Learning with Stability Safety Guarantees Using Robust MPC
Reinforcement Learning offers tools to optimize policies based on the da...
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11/26/2020
Optimization of the Model Predictive Control Update Interval Using Reinforcement Learning
In control applications there is often a compromise that needs to be mad...
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04/03/2020
Reinforcement Learning for Mixed-Integer Problems Based on MPC
Model Predictive Control has been recently proposed as policy approximat...
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04/02/2020