wilna-lab / H-DQN

UAV Trajectory Optimization for Data Collection from Time-Constrained IoT Devices: A Hierarchical Deep Q-Network Approach

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H-DQN

UAV Trajectory Optimization for Data Collection from Time-Constrained IoT Devices: A Hierarchical Deep Q-Network Approach

Data Format: Python Pickle file

Among them, data1.pk includes the reward data in the convergence process of H-DQN and DQN methods in the experiment, data2.pk includes the QoS experimental data of the three methods under different energy weights, and data3.pk includes the QoS experimental data during the task, and UAV residual energy data under different energy weights.

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UAV Trajectory Optimization for Data Collection from Time-Constrained IoT Devices: A Hierarchical Deep Q-Network Approach