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Intelligent DRL-Based Adaptive Region of Interest for Delay-sensitive Telemedicine Applications

Intelligent DRL-Based Adaptive Region of Interest for Delay-sensitive Telemedicine Applications

Abdulrahman Soliman
Amr M. Mohamed
Elias Yaacoub
Nikhil V. Navkar
A. Erbad
ArXiv (abs)PDFHTML

Papers citing "Intelligent DRL-Based Adaptive Region of Interest for Delay-sensitive Telemedicine Applications"

3 / 3 papers shown
Title
How to Make Deep RL Work in Practice
How to Make Deep RL Work in Practice
Nirnai Rao
Elie Aljalbout
Axel Sauer
Sami Haddadin
OffRL
129
11
0
25 Oct 2020
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
Keita Ota
Tomoaki Oiki
Devesh K. Jha
T. Mariyama
D. Nikovski
OffRL
96
42
0
03 Mar 2020
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
317
8,420
0
04 Jan 2018

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