5G network on wings: A deep reinforcement learning approach to the UAV-based integrated access and backhaul H Zhang, Z Qi, J Li, A Aronsson, J Bosch, HH Olsson IEEE Transactions on Machine Learning in Communications and Networking, 2024 | 9 | 2024 |
Deep reinforcement learning for multiple agents in a decentralized architecture: A case study in the telecommunication domain H Zhang, J Li, Z Qi, A Aronsson, J Bosch, HH Olsson 2023 IEEE 20th International Conference on Software Architecture Companion …, 2023 | 5 | 2023 |
Autonomous navigation and configuration of integrated access backhauling for UAV base station using reinforcement learning H Zhang, J Li, Z Qi, X Lin, A Aronsson, J Bosch, HH Olsson 2022 IEEE Future Networks World Forum (FNWF), 184-189, 2022 | 4 | 2022 |
Deep reinforcement learning in a dynamic environment: A case study in the telecommunication industry H Zhang, J Li, Z Qi, X Lin, A Aronsson, J Bosch, HH Olsson 2022 48th Euromicro Conference on Software Engineering and Advanced …, 2022 | 1 | 2022 |
Dynamic reinforcement learning J Li, Z Qi, LIN Xingqin, A Aronsson, H Zhang, J Bosch, HH OLSSON US Patent App. 18/689,823, 2024 | | 2024 |
Multi-Agent Reinforcement Learning in Dynamic Industrial Context H Zhang, J Li, Z Qi, A Aronsson, J Bosch, HH Olsson 2023 IEEE 47th Annual Computers, Software, and Applications Conference …, 2023 | | 2023 |