Empirical Evaluation of Proximal Policy Optimization for UAV Navigation in Constrained Indoor Environments
Autonomous navigation of unmanned aerial vehicles (UAVs) in constrained indoor environments remains a challenging problem due to limited maneuvering space and high collision risk. This paper presents an empirical evaluation of a reinforcement learning-based approach for UAV path planning using Proximal Policy Optimizat...