Multi-Agent Machine Learning for Mobile Robots: A Reinforcement Learning Approach

Proceedings of the 5th International Conference of Control, Dynamic Systems, and Robotics (CDSR'19) ◽

10.11159/cdsr19.3 ◽

2019 ◽

Author(s):

Howard Schwarz

Keyword(s):

Machine Learning ◽

Reinforcement Learning ◽

Mobile Robots ◽

Learning Approach ◽

Multi Agent

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ReLight-WCTM: Multi-Agent Reinforcement Learning Approach for Traffic Light Control within a Realistic Traffic Simulation

10.1109/tsp52935.2021.9522612 ◽

2021 ◽

Author(s):

Peter Palos ◽

Arpad Huszak

Keyword(s):

Reinforcement Learning ◽

Traffic Simulation ◽

Learning Approach ◽

Light Control ◽

Traffic Light ◽

Traffic Light Control ◽

Multi Agent

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A Case Study in Hybrid Multi-threading and Hierarchical Reinforcement Learning Approach for Cooperative Multi-agent Systems

2015 Fourteenth Mexican International Conference on Artificial Intelligence (MICAI) ◽

10.1109/micai.2015.20 ◽

2015 ◽

Author(s):

Hiram Ponce ◽

Ricardo Padilla ◽

Alan Davalos ◽

Alvaro Herrasti ◽

Cynthia Pichardo ◽

...

Keyword(s):

Reinforcement Learning ◽

Learning Approach ◽

Multi Agent Systems ◽

Agent Systems ◽

Hierarchical Reinforcement Learning ◽

Multi Agent

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A Multi-agent Mechanism in Machine Learning Approach to Anti-virus System

Agent and Multi-Agent Systems: Technologies and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-540-78582-8_75 ◽

2008 ◽

pp. 743-752 ◽

Cited By ~ 1

Author(s):

Minh Nhat Quang Truong ◽

Trong Nghia Hoang

Keyword(s):

Machine Learning ◽

Learning Approach ◽

Machine Learning Approach ◽

Multi Agent ◽

Virus System

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A Decentralized Multi-agent Reinforcement Learning Approach for Resource Sharing and Allocation in Renewable Energy Powered Wireless Networks

Communications in Computer and Information Science - Artificial Intelligence and Security ◽

10.1007/978-981-15-8101-4_57 ◽

2020 ◽

pp. 640-651

Author(s):

Yu Gong ◽

Yifei Wei ◽

Qiao Li ◽

Lianping Zhang ◽

Xiaojun Wang

Keyword(s):

Wireless Networks ◽

Renewable Energy ◽

Reinforcement Learning ◽

Resource Sharing ◽

Learning Approach ◽

Multi Agent

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Packet Routing Against Network Congestion: A Deep Multi-agent Reinforcement Learning Approach

2020 International Conference on Computing, Networking and Communications (ICNC) ◽

10.1109/icnc47757.2020.9049759 ◽

2020 ◽

Author(s):

Ruijin Ding ◽

Yuwen Yang ◽

Jun Liu ◽

Hongyan Li ◽

Feifei Gao

Keyword(s):

Reinforcement Learning ◽

Learning Approach ◽

Packet Routing ◽

Network Congestion ◽

Multi Agent

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Constructive Policy: Reinforcement Learning Approach for Connected Multi-Agent Systems

2019 IEEE 15th International Conference on Automation Science and Engineering (CASE) ◽

10.1109/coase.2019.8843223 ◽

2019 ◽

Cited By ~ 2

Author(s):

Sayyed Jaffar Ali Raza ◽

Mingjie Lin

Keyword(s):

Reinforcement Learning ◽

Learning Approach ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent

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Autonomous Separation Assurance in An High-Density En Route Sector: A Deep Multi-Agent Reinforcement Learning Approach

2019 IEEE Intelligent Transportation Systems Conference (ITSC) ◽

10.1109/itsc.2019.8917217 ◽

2019 ◽

Author(s):

Marc Brittain ◽

Peng Wei

Keyword(s):

Reinforcement Learning ◽

High Density ◽

Learning Approach ◽

Multi Agent

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Autonomous Tracking Using a Swarm of UAVs: A Constrained Multi-Agent Reinforcement Learning Approach

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2020.3023733 ◽

2020 ◽

Vol 69 (11) ◽

pp. 13702-13717

Author(s):

Yu-Jia Chen ◽

Deng-Kai Chang ◽

Cheng Zhang

Keyword(s):

Reinforcement Learning ◽

Learning Approach ◽

Multi Agent

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Multi-vehicle routing problems with soft time windows: A multi-agent reinforcement learning approach

Transportation Research Part C Emerging Technologies ◽

10.1016/j.trc.2020.102861 ◽

2020 ◽

Vol 121 ◽

pp. 102861

Author(s):

Ke Zhang ◽

Fang He ◽

Zhengchao Zhang ◽

Xi Lin ◽

Meng Li

Keyword(s):

Reinforcement Learning ◽

Vehicle Routing ◽

Time Windows ◽

Learning Approach ◽

Vehicle Routing Problems ◽

Routing Problems ◽

Soft Time Windows ◽

Multi Agent

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Cooperative Spectrum Sensing Meets Machine Learning: Deep Reinforcement Learning Approach

IEEE Communications Letters ◽

10.1109/lcomm.2020.2984430 ◽

2020 ◽

Vol 24 (7) ◽

pp. 1459-1462

Author(s):

Rahil Sarikhani ◽

Farshid Keynia

Keyword(s):

Machine Learning ◽

Reinforcement Learning ◽

Spectrum Sensing ◽

Cooperative Spectrum Sensing ◽

Learning Approach

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