937 research outputs found
Learning to rest: A Q-learning approach to flying base station trajectory design with landing spots
Learning to rest: A Q-learning approach to flying base station trajectory design with landing spots
Modeling interactions of autonomous vehicles and pedestrians with deep multi-agent reinforcement learning for collision avoidance
Model-aided deep reinforcement learning for sample-efficient UAV trajectory design in IoT networks
UAV coverage path planning under varying power constraints using deep reinforcement learning
Model-aided federated reinforcement learning for multi-UAV trajectory planning in IoT networks
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