Reinforcement Q-learning for optimal tracking control of linear discrete-time systems with unknown dynamics
By Bahare Kiumarsi-Khomartash, Frank L. Lewis, Hamidreza Modares, A. Karimpour, Mohammad-Bagher Naghibi-Sistani. at - Automatisierungstechnik, 2014
533 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/c9437662d90cec184b9634230dbee224e1423d20
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Hamidreza Modares
- Zhong-Ping Jiang
- Frank L. Lewis
- Derong Liu
- Ding Wang
- Qinglai Wei
- Biao Luo
- Haibo He
In Control and Systems Engineering
- Hamidreza Modares
- Zhong-Ping Jiang
- Frank L. Lewis
- Derong Liu
- Ding Wang
- Qinglai Wei
- Kyriakos G. Vamvoudakis
- Haibo He
Citations in the corpus
- $ {H}_{ {\infty }}$ Tracking Control of Completely Unknown Continuous-Time Systems via Off-Policy Reinforcement Learning (2015, methodology): “Although the RL algorithms have been recently presented for solving H2 optimal tracking [44]–[50], only Liu et al.”