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Robaglia, Benoit-Marie
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1

Deep Reinforcement Learning for Uplink Scheduling in NOMA-U..:

Robaglia, Benoît-Marie ; Coupechoux, Marceau ; Tsilimantos, Dimitrios
IEEE Transactions on Machine Learning in Communications and Networking.  , 2024
Link: https://doi.org/10.1109/..
 
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2

SeqDQN: Multi-Agent Deep Reinforcement Learning for Uplink ..:

, In: 2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit),
Robaglia, Benoit-Marie ; Coupechoux, Marceau ; Tsilimantos, Dimitrios. - p. 623-628 , 2023
Link: https://doi.org/10.1109/..
 
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3

Deep Reinforcement Learning for Scheduling Uplink IoT Traff..:

, In: 2021 IEEE Global Communications Conference (GLOBECOM),
Robaglia, Benoit-Marie ; Destounis, Apostolos ; Coupechoux, Marceau. - p. 1-6 , 2021
Link: https://doi.org/10.1109/..
 
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4

Deep Reinforcement Learning for Uplink Scheduling in NOMA-U..:

Robaglia, Benoît-Marie ; Coupechoux, Marceau ; Tsilimantos, Dimitrios
http://arxiv.org/abs/2308.14523.  , 2023
Link: http://arxiv.org/abs/230..
 
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5

SeqDQN: Multi-Agent Deep Reinforcement Learning for Uplink ..:

Robaglia, Benoît-Marie ; Coupechoux, Marceau ; Tsilimantos, Dimitrios.
hal-04082578.  , 2023
Link: https://telecom-paris.ha..
 
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6

SeqDQN: Multi-Agent Deep Reinforcement Learning for Uplink ..:

Robaglia, Benoît-Marie ; Coupechoux, Marceau ; Tsilimantos, Dimitrios.
hal-04082578.  , 2023
Link: https://telecom-paris.ha..
 
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7

SeqDQN: Multi-Agent Deep Reinforcement Learning for Uplink ..:

Robaglia, Benoît-Marie ; Coupechoux, Marceau ; Tsilimantos, Dimitrios.
hal-04082578.  , 2023
Link: https://telecom-paris.ha..
 
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8

Use of Social Media Data to Diagnose and Monitor Psychotic ..:

Lejeune, Alban ; Robaglia, Benoit-Marie ; Walter, Michel..
info:eu-repo/semantics/altIdentifier/doi/10.2196/36986.  , 2022
Link: https://imt-atlantique.h..
 
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9

Use of Social Media Data to Diagnose and Monitor Psychotic ..:

Lejeune, Alban ; Robaglia, Benoit-Marie ; Walter, Michel..
info:eu-repo/semantics/altIdentifier/doi/10.2196/36986.  , 2022
Link: https://imt-atlantique.h..
 
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10

Use of Social Media Data to Diagnose and Monitor Psychotic ..:

Lejeune, Alban ; Robaglia, Benoit-Marie ; Walter, Michel..
info:eu-repo/semantics/altIdentifier/doi/10.2196/36986.  , 2022
Link: https://imt-atlantique.h..
 
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11

Use of Social Media Data to Diagnose and Monitor Psychotic ..:

Lejeune, Alban ; Robaglia, Benoit-Marie ; Walter, Michel..
info:eu-repo/semantics/altIdentifier/doi/10.2196/36986.  , 2022
Link: https://imt-atlantique.h..
 
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12

Deep Reinforcement Learning for Scheduling Uplink IoT Traff..:

Robaglia, Benoît-Marie ; Destounis, Apostolos ; Coupechoux, Marceau.
info:eu-repo/semantics/altIdentifier/doi/10.1109/GLOBECOM46510.2021.9685561.  , 2021
Link: https://telecom-paris.ha..
 
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13

Deep Reinforcement Learning for Scheduling Uplink IoT Traff..:

Robaglia, Benoît-Marie ; Destounis, Apostolos ; Coupechoux, Marceau.
info:eu-repo/semantics/altIdentifier/doi/10.1109/GLOBECOM46510.2021.9685561.  , 2021
Link: https://telecom-paris.ha..
 
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14

Deep Reinforcement Learning for Scheduling Uplink IoT Traff..:

Robaglia, Benoît-Marie ; Destounis, Apostolos ; Coupechoux, Marceau.
info:eu-repo/semantics/altIdentifier/doi/10.1109/GLOBECOM46510.2021.9685561.  , 2021
Link: https://telecom-paris.ha..
 
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15

Estimating Risk and Uncertainty in Deep Reinforcement Learn..:

Clements, William R ; Van Delft, Bastien ; Robaglia, Benoît-Marie..
http://arxiv.org/abs/1905.09638.  , 2019
Link: http://arxiv.org/abs/190..
 
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