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Two Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipes

arXiv 2307.09711 ↗First posted 19 Jul 2023cs.AIcited by 0

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Abstract (arXiv)

This paper presents the deep learning-based recent achievements to resolve the problem of autonomous mobility control and efficient resource management of autonomous vehicles and UAVs, i.e., (i) multi-agent reinforcement learning (MARL), and (ii) neural Myerson auction. Representatively, communication network (CommNet), which is one of the most popular MARL algorithms, is introduced to enable multiple agents to take actions in a distributed manner for their shared goals by training all agents' states and actions in a single neural network. Moreover, the neural Myerson auction guarantees trustfulness among multiple agents as well as achieves the optimal revenue of highly dynamic systems. Therefore, we survey the recent studies on autonomous mobility control based on MARL and neural Myerson auction. Furthermore, we emphasize that integration of MARL and neural Myerson auction is expected to be critical for efficient and trustful autonomous mobility services.

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References · 18

  1. 2013Playing Atari with Deep Reinforcement Learningcited by 3,274
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  9. 2020ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learningcited by 19
  10. 2022Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applicationscited by 13
  11. 2020Auction-based Charging Scheduling with Deep Learning Framework for Multi-Drone Networkscited by 12
  12. 2017Optimal Auction For Edge Computing Resource Management in Mobile Blockchain Networks: A Deep Learning Approachcited by 8
6 more
  1. 2023Quantum Multi-Agent Actor-Critic Neural Networks for Internet-Connected Multi-Robot Coordination in Smart Factory Managementcited by 8
  2. 2018Wireless Video Caching and Dynamic Streaming under Differentiated Quality Requirementscited by 7
  3. 2021Cooperative Multi-Agent Reinforcement Learning Based Distributed Dynamic Spectrum Access in Cognitive Radio Networkscited by 7
  4. 2023Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systemscited by 5
  5. 2013An Auction-driven Self-organizing Cloud Delivery Modelcited by 2
  6. 2022A Convex Optimal Control Framework for Autonomous Vehicle Intersection Crossingcited by 2

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