@inproceedings{robaglia:hal-03566861, TITLE = {{Deep Reinforcement Learning for Scheduling Uplink IoT Traffic with Strict Deadlines}}, AUTHOR = {Robaglia, Beno{\^i}t-Marie and Destounis, Apostolos and Coupechoux, Marceau and Tsilimantos, Dimitrios}, URL = {https://hal.telecom-paris.fr/hal-03566861}, BOOKTITLE = {{GLOBECOM 2021 - 2021 IEEE Global Communications Conference}}, ADDRESS = {Madrid, France}, PUBLISHER = {{IEEE}}, PAGES = {1-6}, YEAR = {2021}, MONTH = Dec, DOI = {10.1109/GLOBECOM46510.2021.9685561}, KEYWORDS = {Multiple Access ; Reinforcement Learning ; Proximal Policy Optimization ; POMDP ; Internet of Things ; Wireless sensor networks ; scheduling}, PDF = {https://hal.telecom-paris.fr/hal-03566861/file/globecom21.pdf}, HAL_ID = {hal-03566861}, HAL_VERSION = {v1}, }