Multi-objective Reinforcement Learning – Concept, Approaches and Applications-Reference-Cited by-同舟云学术

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Multi-objective Reinforcement Learning – Concept, Approaches and Applications

Published:2023 Issue: Volume:221 Page:526-532
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Zhang Linzi,Qi Zhiquan,Shi Yong

Funder

National Natural Science Foundation of China

China Scholarship Council

Publisher

Elsevier BV

Subject

General Engineering

Reference26 articles.

1. MULTIOBJECTIVE DECISION MAKING;Haimes,1983

2. A Niched Pareto Genetic Algorithm for Multi-Objective Optimization;Horn,1994

3. A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: nsga-ii;Deb,2000

4. Learning all optimal policies with multiple criteria;Barrett,2008

5. Computing optimal stationary policies for multi-objective markov decision processes;Wiering,2007

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Model‐based reinforcement learning control of reaction‐diffusion problems;Optimal Control Applications and Methods;2024-08-07

2. Achieving optimal trade-off for student dropout prediction with multi-objective reinforcement learning;PeerJ Computer Science;2024-04-30

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