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pro vyhledávání: '"Almuzairee, Abdulaziz"'
Q-learning algorithms are appealing for real-world applications due to their data-efficiency, but they are very prone to overfitting and training instabilities when trained from visual observations. Prior work, namely SVEA, finds that selective appli
Externí odkaz:
http://arxiv.org/abs/2405.17416
Autor:
Borse, Shubhankar, Yogamani, Senthil, Klingner, Marvin, Ravi, Varun, Cai, Hong, Almuzairee, Abdulaziz, Porikli, Fatih
Bird's-eye-view (BEV) grid is a typical representation of the perception of road components, e.g., drivable area, in autonomous driving. Most existing approaches rely on cameras only to perform segmentation in BEV space, which is fundamentally constr
Externí odkaz:
http://arxiv.org/abs/2306.03810
Autor:
Borse, Shubhankar, Klingner, Marvin, Kumar, Varun Ravi, Cai, Hong, Almuzairee, Abdulaziz, Yogamani, Senthil, Porikli, Fatih
Bird's-eye-view (BEV) grid is a common representation for the perception of road components, e.g., drivable area, in autonomous driving. Most existing approaches rely on cameras only to perform segmentation in BEV space, which is fundamentally constr
Externí odkaz:
http://arxiv.org/abs/2210.06778
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