Learning Based Edge Computing in Air-to-Air Communication Network. - Zhe Wang; Hongxiang Li; Eric J. Knoblock; Rafael D. Apaza (SEC, 2021)

Dynamic Spectrum Sharing in Cellular Based Urban Air Mobility via Deep Reinforcement Learning. - Ruixuan Han; Hongxiang Li; Eric J. Knoblock; Michael R. Gasper; Rafael D. Apaza (GLOBECOM, 2022)

Deep Reinforcement Learning Assisted Spectrum Management in Cellular Based Urban Air Mobility. - Ruixuan Han; Hongxiang Li; Rafael D. Apaza; Eric J. Knoblock; Michael Gasper (IEEE Wirel. Commun., 2022)

Joint Communication Resource Allocation and Velocity Optimization in Advanced Air Mobility via Multi-Agent Reinforcement Learning. - Ruixuan Han; Summer Li; Eric J. Knoblock; Michael R. Gasper; Hongxiang Li; Rafael D. Apaza (GLOBECOM, 2023)

A Generalized Approach to Aircraft Trajectory Prediction via Supervised Deep Learning. - Nora Schimpf; Zhe Wang 045; Summer Li; Eric J. Knoblock; Hongxiang Li; Rafael D. Apaza (IEEE Access, 2023)

Joint Velocity and Spectrum Optimization in Urban Air Transportation System via Multi-Agent Deep Reinforcement Learning. - Ruixuan Han; Hongxiang Li; Eric J. Knoblock; Michael R. Gasper; Rafael D. Apaza (IEEE Trans. Veh. Technol., 2023)

Delay Sensitive Routing in an Aerial and Terrestrial Hybrid Wireless Network via Multi-agent Reinforcement Learning. - Zhe Wang; Summer Li; Eric J. Knoblock; Hongxiang Li; Rafael D. Apaza (GLOBECOM, 2024)

Intelligent Spectrum and Airspace Resource Management for Urban Air Mobility Using Deep Reinforcement Learning. - Rafael D. Apaza; Ruixuan Han; Hongxiang Li; Eric J. Knoblock (IEEE Access, 2024)

Deep Reinforcement Learning-Based Joint Routing and Capacity Optimization in an Aerial and Terrestrial Hybrid Wireless Network. - Zhe Wang 045; Hongxiang Li; Eric J. Knoblock; Rafael D. Apaza (IEEE Access, 2024)