ACK-Less Rate Adaptation Using Distributional Reinforcement Learning for Reliable IEEE 802.11bc Broadcast WLANs
Author:
Affiliation:
1. Graduate School of Informatics, Kyoto University, Sakyo-ku, Kyoto, Japan
2. Centre for Wireless Communications, University of Oulu, Oulu, Finland
Funder
Ministry of Internal Affairs and Communications/Strategic Information and Communications Research and Development Promotion Programme
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09785984.pdf?arnumber=9785984
Reference20 articles.
1. Human-level control through deep reinforcement learning;mnih;Nature,2015
2. A distributional perspective on reinforcement learning;bellemare;Proc ICML,2017
3. Distributional reinforcement learning with quantile regression;dabney;Proc AAAI,2018
4. Coherent Measures of Risk
5. Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning
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