Effective Communications: A Joint Learning and Communication Framework for Multi-Agent Reinforcement Learning Over Noisy Channels

We propose a novel formulation of the "effectiveness problem" in communications, put forth by Shannon and Weaver in their seminal work " The Mathematical Theory of Communication ", by considering multiple agents communicating over a noisy channel in order to achieve better coordi...

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Vydané v:	IEEE journal on selected areas in communications Ročník 39; číslo 8; s. 2590 - 2603
Hlavní autori:	Tung, Tze-Yang, Kobus, Szymon, Roig, Joan Pujol, Gunduz, Deniz
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.08.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Channel coding Channels Communication channels Communications systems Deep learning Drone vehicles error correction coding joint source-channel coding Learning to communicate Markov processes Modulation multi-agent systems Multiagent systems Noise measurement Protocols Reagents Reinforcement learning reinforcement learning (RL) Semantics Wireless communication
ISSN:	0733-8716, 1558-0008
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