Noise Parameterization of Continuous Deep Reinforcement Learning for a Class of Non-linear System
Reinforcement learning (RL) is one of the most important algorithms for artificial intelligence. DDPG as continuous controller approach which can work at continuous and high dimensional data applies in this paper to solve nonlinear valve system. The aim of this paper is gaining analysis of the DDPG...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/282134/1/Surriani%20et%20al%20-%202022%20-%20Noise_Parameterization_of_Continuous_Deep_Reinforcement_Learning_for_a_Class_of_Non-linear_System.pdf |