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Tune PI Controller Using Reinforcement Learning in MATLAB using TD3 agent

This video shows how to determine the parameters of a PI controller using the Twin-Delayed Deep Deterministic (TD3) agent from the MATLAB reinforcement learning toolbox. The example used is a water level controller in Simulink.

References:
Tune PI Controller Using Reinforcement Learning
https://www.mathworks.com/help/releases/R2023a/reinforcement-learning/ug/tune-pi-controller-using-td3.html#TunePIControllerWithReinforcementLearningExample-1

Twin-Delayed Deep Deterministic (TD3) Policy Gradient Agents
https://www.mathworks.com/help/releases/R2023a/reinforcement-learning/ug/td3-agents.html

Reinforcement Learning Agents
https://www.mathworks.com/help/releases/R2023a/reinforcement-learning/ug/create-agents-for-reinforcement-learning.html

Видео Tune PI Controller Using Reinforcement Learning in MATLAB using TD3 agent канала IGA PR
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Информация о видео
12 июня 2023 г. 18:31:00
00:27:19
IGA PR
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Жалоба
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