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Spatially-enhanced recurrent memory for long-range mapless navigation via end-to-end reinforcement learning

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The International Journal of Robotics Research

Published online on

Abstract

The International Journal of Robotics Research, Ahead of Print.
Recent advancements in robot navigation, particularly with end-to-end learning approaches such as reinforcement learning (RL), have demonstrated remarkable efficiency and effectiveness. However, successful navigation still fundamentally depends on two key ...