Risk-Aware Multi-Agent Path Planning for Target Detection: A Multi-Agent Reinforcement Learning Approach

AIAA Scitech 2021 Forum ◽

10.2514/6.2021-0267 ◽

2021 ◽

Author(s):

Johnathan Votion ◽

Tao Feng ◽

Yongcan Cao

Keyword(s):

Reinforcement Learning ◽

Path Planning ◽

Target Detection ◽

Learning Approach ◽

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MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ◽

10.1109/iros45743.2020.9340876 ◽

2020 ◽

Author(s):

Zuxin Liu ◽

Baiming Chen ◽

Hongyi Zhou ◽

Guru Koushik ◽

Martial Hebert ◽

...

Keyword(s):

Reinforcement Learning ◽

Path Planning ◽

Dynamic Environments ◽

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A Multiagent Deep Reinforcement Learning Approach for Path Planning in Autonomous Surface Vehicles: The Ypacaraí Lake Patrolling Case

IEEE Access ◽

10.1109/access.2021.3053348 ◽

2021 ◽

Vol 9 ◽

pp. 17084-17099

Author(s):

Samuel Yanes Luis ◽

Daniel Gutierrez Reina ◽

Sergio L. Toral Marin

Keyword(s):

Reinforcement Learning ◽

Path Planning ◽

Learning Approach ◽

Autonomous Surface Vehicles

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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 ◽

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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 ◽

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Anti-conflict AGV path planning in automated container terminals based on multi-agent reinforcement learning

International Journal of Production Research ◽

10.1080/00207543.2021.1998695 ◽

2021 ◽

pp. 1-16

Author(s):

Hongtao Hu ◽

Xurui Yang ◽

Shichang Xiao ◽

Feiyang Wang

Keyword(s):

Reinforcement Learning ◽

Path Planning ◽

Container Terminals ◽

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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 ◽

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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 ◽

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Joint Optimization of Multi-UAV Target Assignment and Path Planning Based on Multi-Agent Reinforcement Learning

IEEE Access ◽

10.1109/access.2019.2943253 ◽

2019 ◽

Vol 7 ◽

pp. 146264-146272 ◽

Author(s):

Han Qie ◽

Dianxi Shi ◽

Tianlong Shen ◽

Xinhai Xu ◽

Yuan Li ◽

...

Keyword(s):

Reinforcement Learning ◽

Path Planning ◽

Joint Optimization ◽

Target Assignment ◽

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 ◽

Author(s):

Sayyed Jaffar Ali Raza ◽

Mingjie Lin

Keyword(s):

Reinforcement Learning ◽

Learning Approach ◽

Multi Agent Systems ◽

Agent Systems ◽

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Optimal Path-Planning of Nonholonomic Terrain Robots for Dynamic Obstacle Avoidance Using Single-Time Velocity Estimator and Reinforcement Learning Approach

IEEE Access ◽

10.1109/access.2019.2950166 ◽

2019 ◽

Vol 7 ◽

pp. 159347-159356

Author(s):

Hamid Taghavifar ◽

Bin Xu ◽

Leyla Taghavifar ◽

Yechen Qin

Keyword(s):

Reinforcement Learning ◽

Path Planning ◽

Obstacle Avoidance ◽

Optimal Path ◽

Learning Approach ◽

Single Time ◽

Optimal Path Planning ◽

Dynamic Obstacle Avoidance ◽

Dynamic Obstacle

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