NaviFormer uses a Transformer architecture inside deep reinforcement learning to jointly predict high-level routes and low-level collision-free trajectories for holistic navigation.
Unmanned aerial vehicle path planning based on a* algorithm and its variants in 3d environment,
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NaviFormer: A Deep Reinforcement Learning Transformer-like Model to Holistically Solve the Navigation Problem
NaviFormer uses a Transformer architecture inside deep reinforcement learning to jointly predict high-level routes and low-level collision-free trajectories for holistic navigation.