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Sample-Efficient Methods for Real-World Deep Reinforcement Learning

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Boney, Rinu
Aalto University2022

Scaling up Deep Reinforcement Learning for Intelligent Video Game Agents

DOI
10.1109/SMARTCOMP55677.2022.00050
Debner, Anton
IEEE international conference on smart computing2022

FLARE Fingerprinting Deep Reinforcement Learning Agents using Universal Adversarial Masks

Referentgranskad
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DOI
10.1145/3627106.3627128
Tekgul, Buse G.A.; Asokan, N.
Annual Computer Security Applications Conference2023

Deep Reinforcement Learning based Access Control for Disaster Response Networks

Referentgranskad
DOI
10.1109/GLOBECOM42002.2020.9322553
Zhou, Hang; Wang, Xiaoyan; Umehira, Masahiro; Chen, Xianfu; Wu, Celimuge; Ji, Yusheng
Globecom2020

Cognitive Modelling: From GOMS to Deep Reinforcement Learning

DOI
10.1145/3544549.3574173
Jokinen, Jussi P.P.; Oulasvirta, Antti; Howes, Andrew
ACM SIGCHI annual conference on human factors in computing systems2023

Dynamic Resource Allocation Using Deep Reinforcement Learning for 6G Metaverse

Referentgranskad
DOI
10.1109/ICAIIC60209.2024.10463509
Kim, Haesik
International Conference on Artificial Intelligence in Information and Communication (ICAIIC)2024

Deep reinforcement learning for fuel cost optimization in district heating

Referentgranskad
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DOI
10.1016/j.scs.2023.104955
Deng, Jifei; Eklund, Miro; Sierla, Seppo; Savolainen, Jouni; Niemistö, Hannu; Karhela, Tommi; Vyatki...
Sustainable cities and society2023

GAN-based deep distributional reinforcement learning for resource management in network slicing

Referentgranskad
DOI
10.1109/GLOBECOM38437.2019.9014217
Hua, Yuxiu; Li, Rongpeng; Zhao, Zhifeng; Zhang, Honggang; Chen, Xianfu
IEEE Global Communications Conference2019

GAN-powered Deep Distributional Reinforcement Learning for Resource Management in Network Slicing

Referentgranskad
DOI
10.1109/JSAC.2019.2959185
Hua, Yuxiu; Li, Rongpeng; Zhao, Zhifeng; Chen, Xianfu; Zhang, Honggang
IEEE Journal on Selected Areas in Communications2020

Deep Reinforcement Learning for Resource Management in Network Slicing

Referentgranskad
Öppen tillgång
DOI
10.1109/ACCESS.2018.2881964
Li, Rongpeng; Zhao, Zhifeng; Sun, Qi; Chi-Lin, I.; Yang, Chenyang; Chen, Xianfu; Zhao, Minjian; Zhan...
IEEE Access2018

Sample-Efficient Methods for Real-World Deep Reinforcement Learning

Öppen tillgång
2022

Scaling up Deep Reinforcement Learning for Intelligent Video Game Agents

DOI
10.1109/SMARTCOMP55677.2022.00050
2022

FLARE Fingerprinting Deep Reinforcement Learning Agents using Universal Adversarial Masks

Referentgranskad
Öppen tillgång
DOI
10.1145/3627106.3627128
2023

Deep Reinforcement Learning based Access Control for Disaster Response Networks

Referentgranskad
DOI
10.1109/GLOBECOM42002.2020.9322553
2020

Cognitive Modelling: From GOMS to Deep Reinforcement Learning

DOI
10.1145/3544549.3574173
2023

Dynamic Resource Allocation Using Deep Reinforcement Learning for 6G Metaverse

Referentgranskad
DOI
10.1109/ICAIIC60209.2024.10463509
2024

Deep reinforcement learning for fuel cost optimization in district heating

Referentgranskad
Öppen tillgång
DOI
10.1016/j.scs.2023.104955
2023

GAN-based deep distributional reinforcement learning for resource management in network slicing

Referentgranskad
DOI
10.1109/GLOBECOM38437.2019.9014217
2019

GAN-powered Deep Distributional Reinforcement Learning for Resource Management in Network Slicing

Referentgranskad
DOI
10.1109/JSAC.2019.2959185
2020

Deep Reinforcement Learning for Resource Management in Network Slicing

Referentgranskad
Öppen tillgång
DOI
10.1109/ACCESS.2018.2881964
2018