Estimating Risk and Uncertainty in Deep Reinforcement Learning. - William R. Clements; Benoît-Marie Robaglia; Bastien Van Delft; Reda Bahi Slaoui; Sébastien Toth (CoRR, 2019)

Deep Reinforcement Learning for Scheduling Uplink IoT Traffic with Strict Deadlines. - Benoît-Marie Robaglia; Apostolos Destounis; Marceau Coupechoux; Dimitrios Tsilimantos (GLOBECOM, 2021)

SeqDQN: Multi-Agent Deep Reinforcement Learning for Uplink URLLC with Strict Deadlines. - Benoît-Marie Robaglia; Marceau Coupechoux; Dimitrios Tsilimantos; Apostolos Destounis (EuCNC/6G Summit, 2023)

Deep Reinforcement Learning for Uplink Scheduling in NOMA-URLLC Networks. - Benoît-Marie Robaglia; Marceau Coupechoux; Dimitrios Tsilimantos (CoRR, 2023)

Multi-Agent Proximal Policy Optimization for Dynamic Multi-Channel URLLC Access. - Benoît-Marie Robaglia; Marceau Coupechoux; Dimitrios Tsilimantos (PIMRC, 2024)

Reinforcement Learning for Uncoordinated Multiple Access. (Apprentissage par Renforcement pour l'accès multiple non-coordonné). - Benoît-Marie Robaglia (2024)