MLIMAS: A Framework for Machine Learning in Interactive Multi-agent Systems-Reference-Cited by-同舟云学术

MLIMAS: A Framework for Machine Learning in Interactive Multi-agent Systems

Published:2015 Issue: Volume:65 Page:827-835
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Khalil Khaled M.,Abdel-Aziz M.,Nazmy Taymour T.,Salem Abdel-Badeeh M.

Publisher

Elsevier BV

Subject

General Engineering

Reference21 articles.

1. A Comprehensive Survey of Multi-Agent Reinforcement Learning. IEEE Transactions on Systems Man, and Cybernetics;Busoniu;Part C: Applications and Reviews;,2008

2. Weiss G. Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. MIT Press; 1999.

3. Multiagent systems: A survey from the machine learning perspective;Stone;J Autonomous Robots,2000

4. Learning in multi-agent systems;Alonso;J The Knowledge Engineering Review,2001

5. Gao F, Toni F. Argumentation-Based Reinforcement Learning for RoboCup Soccer Takeaway. The European Conference on Artificial Intelligence 2014.p. 1411-1412.

Cited by 7 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. Role of an Optimal Multiagent Scheduling in Different Applications Using ML;Multi-Agent Technologies and Machine Learning;2023-01-25

2. Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation;2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC);2022-06

3. Agent-based intelligent decision support systems: a systematic review;IEEE Transactions on Cognitive and Developmental Systems;2020

4. Estimation of missing prices in real-estate market agent-based simulations with machine learning and dimensionality reduction methods;Neural Computing and Applications;2019-01-07

5. Finite State Machine Based Modelling of Discrete Control Algorithm in LAD Diagram Language With Use of New Generation Engineering Software;Procedia Computer Science;2019