Counterfactual Reward Estimation for Credit Assignment in Multi-agent Deep Reinforcement Learning over Wireless Video Transmission

This study investigates frame-wise optimization in Mobile Edge Computing (MEC) for video transmission, emphasizing dynamic adaptation to diverse frame complexities and efficient resource utilization. The comprehensive system model captures the complexities of joint optimizations in MEC for real-time...

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Vydané v:	Proceedings of the International Conference on Distributed Computing Systems s. 1177 - 1189
Hlavní autori:	Wenhan, Y., Qian, Liangxin, Chua, Terence Jie, Zhao, Jun
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 23.07.2024
Predmet:	Complexity theory credit assignment Dynamic scheduling multi-agent deep reinforcement learning Resource management Streaming media Training User experience Video transmission Wireless communication
ISSN:	2575-8411
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