Title
RL-IoT: Reinforcement Learning to Interact with IoT Devices
Abstract
Our life is getting filled by Internet of Things (IoT) devices. These devices often rely on closed or poorly documented protocols, with unknown formats and semantics. Learning how to interact with such devices in an autonomous manner is the key for interoperability and automatic verification of their capabilities. In this paper, we propose RL-IoT, a system that explores how to automatically intera...
Year
DOI
Venue
2021
10.1109/COINS51742.2021.9524260
2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS)
Keywords
DocType
ISBN
Performance evaluation,Protocols,Dictionaries,Roads,Semantics,Reinforcement learning,Internet of Things
Conference
978-1-6654-3156-9
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Giulia Milan100.34
Luca Vassio23313.82
Idilio Drago329827.35
Marco Mellia400.68