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Trajectory Design and Access Control for Air-Ground Coordinated Communications System With Multiagent Deep Reinforcement Learning.

, , , and . IEEE Internet Things J., 9 (8): 5785-5798 (2022)

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Adversarial Counterfactual Environment Model Learning., , , , , , , , , and 1 other author(s). CoRR, (2022)Deep Reinforcement Learning Based 3D UAV Trajectory Design and Frequency Band Allocation., , and . GLOBECOM, page 1-6. IEEE, (2020)UAV-Enabled Secure Communications by Multi-Agent Deep Reinforcement Learning., , , , , and . IEEE Trans. Veh. Technol., 69 (10): 11599-11611 (2020)Packet Routing Against Network Congestion: A Deep Multi-agent Reinforcement Learning Approach., , , , and . ICNC, page 932-937. IEEE, (2020)Deep Reinforcement Learning for Router Selection in Network With Heavy Traffic., , , , and . IEEE Access, (2019)Packet Routing in Dynamic Multi-Hop UAV Relay Network: A Multi-Agent Learning Approach., , , , , and . IEEE Trans. Veh. Technol., 71 (9): 10059-10072 (2022)Trajectory Design and Access Control for Air-Ground Coordinated Communications System With Multiagent Deep Reinforcement Learning., , , and . IEEE Internet Things J., 9 (8): 5785-5798 (2022)3D UAV Trajectory Design and Frequency Band Allocation for Energy-Efficient and Fair Communication: A Deep Reinforcement Learning Approach., , and . IEEE Trans. Wirel. Commun., 19 (12): 7796-7809 (2020)Air-Ground Coordination Communication by Multi-Agent Deep Reinforcement Learning., , , and . ICC, page 1-6. IEEE, (2021)