Embodied visual navigation, which is crucial in fields such as autonomous robotics and augmented reality, enables a robot to navigate and search for target objects in an unknown environment while localizing itself. However, existing deep reinforcement learning (RL) approaches often suffer from performance degradation in out-of-distribution environments due to statistical shifts between training and testing […]
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