Deep Object Centric Policies for Autonomous Driving
arXiv: Artificial Intelligence, Volume abs/1811.05432, 2018.
While learning visuomotor skills in an end-to-end manner is appealing, deep neural networks are often uninterpretable and fail in surprising ways. For robotics tasks, such as autonomous driving, models that explicitly represent objects may be more robust to new scenes and provide intuitive visualizations. We describe a taxonomy of models...More
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