A safety-constrained perception-control framework with lightweight convolutions and Lagrangian safe PPO yields higher success rates, safety, and efficiency in UAV navigation experiments.
Autonomous navigation of UA V in multi-obstacle environments based on a deep reinforcement learning approach,
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Lightweight Safe Reinforcement Learning for End-to-End UAV Navigation
A safety-constrained perception-control framework with lightweight convolutions and Lagrangian safe PPO yields higher success rates, safety, and efficiency in UAV navigation experiments.