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An ergodicity perspective on reinforcement learning

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Baumann, Dominik
London Mathematical Laboratory2023Publicationer information ikon

Asymmetric Multiagent Reinforcement Learning

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Könönen, Ville
WEB INTELLIGENCE AND AGENT SYSTEMS2004Publicationer information ikon

Asymmetric Multiagent Reinforcement Learning

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Könönen, Ville
IEEE2003Publicationer information ikon

Safe reinforcement learning in uncertain contexts

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DOI
10.1109/TRO.2024.3354176
Baumann, Dominik; Schön, Thomas B.
IEEE Transactions on Robotics2024Publicationer information ikon

Graph Signal Sampling via Reinforcement Learning

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DOI
10.1109/ICASSP.2019.8683181
Abramenko, O.; Jung, A.
IEEE International Conference on Acoustics Speech and Signal Processing2019Publicationer information ikon

Policy Gradient Method for Multiagent Reinforcement Learning

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Könönen, Ville
-2003Publicationer information ikon

Hierarchical Reinforcement Learning Explains Task Interleaving Behavior

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DOI
10.1007/s42113-020-00093-9
Gebhardt, Christoph; Oulasvirta, Antti; Hilliges, Otmar
Computational Brain & Behavior2020Publicationer information ikon

Relay Nodes Selection Using Reinforcement Learning

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DOI
10.1109/ICAIIC51459.2021.9415208
Kim, Haesik; Fujii, Takeo; Umebayashi, Kenta
3rd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 202...2021Publicationer information ikon

Exploratory Performance Testing Using Reinforcement Learning

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DOI
10.1109/SEAA.2019.00032
Tanwir Ahmad; Adnan Ashraf; Dragos Truscan; Ivan Porres Paltor
IEEE 45th Euromicro Conference on Software Engineering and Advanced Applications2019Publicationer information ikon

Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning

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DOI
10.1109/tccn.2024.3499357
Eldeeb, Eslam; Sifaou, Houssem; Simeone, Osvaldo; Shehab, Mohammad; Alves, Hirley
IEEE transactions on cognitive communications and networking2024

An ergodicity perspective on reinforcement learning

Öppen tillgång
2023

Asymmetric Multiagent Reinforcement Learning

Referentgranskad
2004

Asymmetric Multiagent Reinforcement Learning

Referentgranskad
2003

Safe reinforcement learning in uncertain contexts

Referentgranskad
Öppen tillgång
DOI
10.1109/TRO.2024.3354176
2024

Graph Signal Sampling via Reinforcement Learning

Referentgranskad
Öppen tillgång
DOI
10.1109/ICASSP.2019.8683181
2019

Policy Gradient Method for Multiagent Reinforcement Learning

Referentgranskad
2003

Hierarchical Reinforcement Learning Explains Task Interleaving Behavior

Referentgranskad
Öppen tillgång
DOI
10.1007/s42113-020-00093-9
2020

Relay Nodes Selection Using Reinforcement Learning

Referentgranskad
DOI
10.1109/ICAIIC51459.2021.9415208
2021

Exploratory Performance Testing Using Reinforcement Learning

Referentgranskad
Öppen tillgång
DOI
10.1109/SEAA.2019.00032
2019

Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning

Referentgranskad
Öppen tillgång
DOI
10.1109/tccn.2024.3499357
2024