Title :
Design of reinforce learning control algorithm and verified in inverted pendulum
Author :
Linglin, Wang ; Yongxin, Liu ; Xiaoke, Zhai
Author_Institution :
College of electronic information engineering, Inner Mongolia University, Hohhot 100021, China
Abstract :
The reinforce leaning control algorithm is studied in this paper. Two algorithms are designed using one-stage inverted pendulum as an object. One is Q-learning control algorithm, the other is also this algorithm but its parameters are optimized by BP neural network. Algorithms are verified in one-stage inverted pendulum swing up control. Experimental results show that the algorithm with BP NN optimized is more effective and stable, and this algorithm can be used in real time control.
Keywords :
Algorithm design and analysis; Heuristic algorithms; Indexes; Learning (artificial intelligence); Neural networks; Process control; Training; BP network; Inverted pendulum; Learning control; Q-learning algorithm;
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
DOI :
10.1109/ChiCC.2015.7260128
