Multi-agent Deep Reinforcement Learning for Task Allocation in Dynamic Environment

Author:

Ben Noureddine Dhouha1,Gharbi Atef2,Ben Ahmed Samir3

Affiliation:

1. LISI, National Institute of Applied Science and Technology, INSAT, University of Carthage, FST and University of El Manar, Tunisia

2. LISI, National Institute of Applied Science and Technology, INSAT and University of Carthage, Tunisia

3. FST and University of El Manar, Tunisia

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 28 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

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4. A Review of Task Allocation Methods for UAVs;Journal of Intelligent & Robotic Systems;2023-11-21

5. An overview of reinforcement learning techniques;2023 12th Mediterranean Conference on Embedded Computing (MECO);2023-06-06

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