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Intelligent Communication Planning for Constrained Environmental IoT
  Sensing with Reinforcement Learning

Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning

19 August 2023
Yi Hu
Jinhang Zuo
Bob Iannucci
Carlee Joe-Wong
ArXivPDFHTML

Papers citing "Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning"

5 / 5 papers shown
Title
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and
  Algorithms
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Kai Zhang
Zhuoran Yang
Tamer Basar
161
1,208
0
24 Nov 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model,
  Applications and Challenges
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges
Lei Lei
Yue Tan
Kan Zheng
Shiwen Liu
K. Zheng
Xuemin Shen
Shen
OffRL
63
204
0
22 Jul 2019
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
131
1,669
0
30 Mar 2018
Learning Multiagent Communication with Backpropagation
Learning Multiagent Communication with Backpropagation
Sainbayar Sukhbaatar
Arthur Szlam
Rob Fergus
198
1,144
0
25 May 2016
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
302
13,214
0
09 Sep 2015
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