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Published Oct 31, 2017

Modeling Human Drivers for Autonomous Driving with Katie Driggs-Campbell - #59

Katie Driggs-Campbell delves into the complexities of designing control systems for autonomous vehicles by modeling human driving behavior, emphasizing the collaboration between traditional engineering and AI research. She highlights techniques like adversarial reinforcement learning and imitation learning to predict driver actions and enhance vehicle robustness and social awareness.
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