Policy gradient fuzzy reinforcement learning

被引：0

作者：

Wang, XN ^{[1
]}

Xu, X ^{[1
]}

He, HG ^{[1
]}

机构：

[1] Natl Univ Def Technol, Inst Automat, Changsha 410073, Peoples R China

来源：

PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年

关键词：

reinforcement learning; fuzzy control; policy gradient; gradient estimate;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a new approach for tuning conclusions of fuzzy rules based on reinforcement learning. Unlike the most of existing fuzzy reinforcement learning algorithms which are based on value function, while our approach called policy gradient fuzzy reinforcement learning (PGFRL) bases on gradient estimate. In PGFRL, The algorithm GPOMDP is employed to estimate the performance gradient with respect to the parameters of fuzzy rules. In our work we prove the convergence of fuzzy rules' parameters to a local optimum given necessary conditions. The experiment results show the effectiveness of PGFRL.

引用

页码：992 / 995

页数：4

共 50 条

[21] A Collaborative Multiagent Reinforcement Learning Method Based on Policy Gradient Potential
Zhang, Zhen
Ong, Yew-Soon
Wang, Dongqing
Xue, Binqiang
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 51 (02) : 1015 - 1027
[22] Performance Improvement of Linux CPU Scheduler Using Policy Gradient Reinforcement Learning for Android Smartphones
Han, Junyeong
Lee, Sungyoung
IEEE ACCESS, 2020, 8 : 11031 - 11045
[23] Decentralized multi-task reinforcement learning policy gradient method with momentum over networks
Shi Junru
Wang Qiong
Liu Muhua
Ji Zhihang
Zheng Ruijuan
Wu Qingtao
APPLIED INTELLIGENCE, 2023, 53 (09) : 10365 - 10379
[24] Decentralized multi-task reinforcement learning policy gradient method with momentum over networks
Shi Junru
Wang Qiong
Liu Muhua
Ji Zhihang
Zheng Ruijuan
Wu Qingtao
Applied Intelligence, 2023, 53 : 10365 - 10379
[25] Model gradient: unified model and policy learning in model-based reinforcement learning
Chengxing Jia
Fuxiang Zhang
Tian Xu
Jing-Cheng Pang
Zongzhang Zhang
Yang Yu
Frontiers of Computer Science, 2024, 18
[26] Model gradient: unified model and policy learning in model-based reinforcement learning
Jia, Chengxing
Zhang, Fuxiang
Xu, Tian
Pang, Jing-Cheng
Zhang, Zongzhang
Yu, Yang
FRONTIERS OF COMPUTER SCIENCE, 2024, 18 (04)
[27] Fuzzy reinforcement learning
Andrecut, M
Ali, MK
INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2002, 13 (05): : 659 - 674
[28] Reinforced knowledge distillation: Multi-class imbalanced classifier based on policy gradient reinforcement learning
Fan, Saite
Zhang, Xinmin
Song, Zhihuan
NEUROCOMPUTING, 2021, 463 : 422 - 436
[29] REINFORCEMENT LEARNING OF SPEECH RECOGNITION SYSTEM BASED ON POLICY GRADIENT AND HYPOTHESIS SELECTION
Kato, Taku
Shinozaki, Takahiro
2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2018, : 5759 - 5763
[30] Active structural control framework using policy-gradient reinforcement learning
Eshkevari, Soheila Sadeghi
Eshkevari, Soheil Sadeghi
Sen, Debarshi
Pakzad, Shamim N.
ENGINEERING STRUCTURES, 2022, 274

← 1 2 3 4 5 →