7 citations · 7 across the 3 of their papers we have counts for
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cs.RO2023
Using Collision Momentum in Deep Reinforcement Learning Based Adversarial Pedestrian Modeling
Dianwei Chen, Ekim Yurtsever, Keith Redmill +1
Recent research in pedestrian simulation often aims to develop realistic behaviors in various situations, but it is challenging for existing algorithms to generate behaviors that i…
cs.RO2021
Learning to drive from a world on rails
Dian Chen, Vladlen Koltun, Philipp Krähenbühl
We learn an interactive vision-based driving policy from pre-recorded driving logs via a model-based approach. A forward model of the world supervises a driving policy that predict…