Model Predictive Control-Based Reinforcement Learning Using Expected Sarsa

Model Predictive Control-Based Reinforcement Learning Using Expected Sarsa

Recent studies have shown the potential of Reinforcement Learning (RL) algorithms in tuning the parameters of Model Predictive Controllers (MPC), including the weights of the cost function and unknown parameters of the MPC model. However, a framework for easy and straightforward implementation that...

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Bibliographic Details
Main Authors: Hoomaan Moradimaryamnegari, Marco Frego, Angelika Peer
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Model predictive control
reinforcement learning
expected Sarsa algorithm
model-based learning method
Online Access:https://ieeexplore.ieee.org/document/9846979/

Internet

https://ieeexplore.ieee.org/document/9846979/

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