Ke Guo
Ke Guo
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CCIL: Context-conditioned imitation learning for urban driving
Imitation learning holds great promise for addressing the complex task of autonomous urban driving, as experienced human drivers can …
Ke Guo
,
Wei Jing
,
Junbo Chen
,
Jia Pan
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Imitation Learning for Urban Driving
Learning a context-conditioned autonomous driving policy by imitating from human driver’s demonstration.
Jul 1, 2023
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Decentralized Collision Avoidance
Navigating multiple agents to their goals without mutual communication and collisions.
Mar 1, 2021
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