Neural Network Pruning and Fast Training for DRL-based UAV Trajectory Planning

Deep reinforcement learning (DRL) has been applied for optimal control of autonomous UAV trajectory generation. The energy and payload capacity of small UAVs impose constraints on the complexity and size of the neural network. While Model compression has the potential to optimize the trained neural network model for efficient deployment on em-bedded platforms, pruning a neural network for DRL is m...