Improving Reinforcement Learning Agents Using Genetic Algorithms

被引：0

作者：

Beigi, Akram ^{[1
]}

Parvin, Hamid ^{[1
]}

Mozayani, Nasser ^{[1
]}

Minaei, Behrouz ^{[1
]}

机构：

[1] Iran Univ Sci & Technol, Comp Engn Sch, Tehran, Iran

来源：

ACTIVE MEDIA TECHNOLOGY | 2010年 / 6335卷

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper a new Reinforcement Learning algorithm was proposed. Q learning is a useful algorithm for agent learning in nondeterministic environment but it is a time consuming algorithm. The presented work applies an evolutionary algorithm for improving Reinforcement Learning algorithm.

引用

页码：330 / 337

页数：8

共 50 条

[1] System for foreign exchange trading using genetic algorithms and reinforcement learning
Hryshko, A
Down, T
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2004, 35 (13-14) : 763 - 774
[2] Integrating reinforcement learning, bidding and genetic algorithms
Qi, DH
Sun, R
IEEE/WIC INTERNATIONAL CONFERENCE ON INTELLIGENT AGENT TECHNOLOGY, PROCEEDINGS, 2003, : 53 - 59
[3] Improving Proactive Dialog Agents Using Socially-Aware Reinforcement Learning
Kraus, Matthias
Wagner, Nicolas
Riekenbrauck, Ron
Minker, Wolfgang
2023 PROCEEDINGS OF THE 31ST ACM CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION, UMAP 2023, 2023, : 146 - 155
[4] Analysis of a Method Improving Reinforcement Learning Agents'Policies
Kitakoshi, Daisuke
Shioya, Hiroyuki
Kurihara, Masahito
2003, Fuji Technology Press (07)
[5] Optimizing reserve size in genetic algorithms with reserve selection using reinforcement learning
Chen, Yang
Hu, Jinglu
Hirasawa, Kotaro
Yu, Songnian
PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-8, 2007, : 1337 - +
[6] Continuous Parameter Control in Genetic Algorithms using Policy Gradient Reinforcement Learning
de Miguel Gomez, Alejandro
Toosi, Farshad Ghassemi
PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL INTELLIGENCE (IJCCI), 2021, : 115 - 122
[7] Improving reinforcement learning algorithms: Towards optimal learning rate policies
Mounjid, Othmane
Lehalle, Charles-Albert
MATHEMATICAL FINANCE, 2024, 34 (02) : 588 - 621
[8] Reinforcement learning in steady-state genetic algorithms
Lee, CY
Antonsson, EK
CEC'02: PROCEEDINGS OF THE 2002 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 2002, : 1793 - 1797
[9] Improving swarming using genetic algorithms
Etienne Renault
Innovations in Systems and Software Engineering, 2020, 16 : 143 - 159
[10] Improving swarming using genetic algorithms
Renault, Etienne
INNOVATIONS IN SYSTEMS AND SOFTWARE ENGINEERING, 2020, 16 (02) : 143 - 159

← 1 2 3 4 5 →