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Eric J. Knoblock

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2020 – today

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2023
[j3]
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  - journals/access/SchimpfWLKLA23
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Nora Schimpf, Zhe Wang, Summer Li, Eric J. Knoblock, Hongxiang Li, Rafael D. Apaza:
A Generalized Approach to Aircraft Trajectory Prediction via Supervised Deep Learning. IEEE Access 11: 116183-116195 (2023)
[j2]
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Ruixuan Han, Hongxiang Li, Eric J. Knoblock, Michael R. Gasper, Rafael D. Apaza:
Joint Velocity and Spectrum Optimization in Urban Air Transportation System via Multi-Agent Deep Reinforcement Learning. IEEE Trans. Veh. Technol. 72(8): 9770-9782 (2023)
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  - conf/globecom/HanLKGLA23
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Ruixuan Han, Summer Li, Eric J. Knoblock, Michael R. Gasper, Hongxiang Li, Rafael D. Apaza:
Joint Communication Resource Allocation and Velocity Optimization in Advanced Air Mobility via Multi-Agent Reinforcement Learning. GLOBECOM 2023: 1501-1506
2022
[j1]
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  - journals/wc/HanLAKG22
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Ruixuan Han, Hongxiang Li, Rafael D. Apaza, Eric J. Knoblock, Michael Gasper:
Deep Reinforcement Learning Assisted Spectrum Management in Cellular Based Urban Air Mobility. IEEE Wirel. Commun. 29(6): 14-21 (2022)
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Ruixuan Han, Hongxiang Li, Eric J. Knoblock, Michael R. Gasper, Rafael D. Apaza:
Dynamic Spectrum Sharing in Cellular Based Urban Air Mobility via Deep Reinforcement Learning. GLOBECOM 2022: 1332-1337
2021
[c1]
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  - conf/ieeesec/WangLKA21
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Zhe Wang, Hongxiang Li, Eric J. Knoblock, Rafael D. Apaza:
Learning Based Edge Computing in Air-to-Air Communication Network. SEC 2021: 333-338

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