Communication-Efficient Cooperative Multi-Agent PPO via Regulated Segment Mixture in Internet of Vehicles-Reference-Cited by-同舟云学术

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Communication-Efficient Cooperative Multi-Agent PPO via Regulated Segment Mixture in Internet of Vehicles

Published:2023-12-04 Issue: Volume: Page:3003-3008
ISSN:
Container-title:GLOBECOM 2023 - 2023 IEEE Global Communications Conference
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Author:

Yu Xiaoxue¹,Li Rongpeng¹,Wang Fei²,Peng Chenghui²,Liang Chengchao³,Zhao Zhifeng⁴,Zhang Honggang⁴

Affiliation:

1. College of Information Science and Electronic Engineering, Zhejiang University

2. Huawei Technologies

3. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications

4. Zhejiang University,Zhejiang Lab

Funder

NSF

Key R&D Plan

Zhejiang Provincial NSF of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437274.pdf?arnumber=10437274

Reference17 articles.

1. Deep Reinforcement Learning for Autonomous Driving: A Survey

2. Dissipating stop-and-go waves in closed and open networks via deep reinforcement learning

3. Multi-Agent Reinforcement Learning: Independent vs. Cooperative Agents

4. The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning With Efficient Communication

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