NeurIPS Autonomous Driving Workshop

Co-organizing the NeurIPS 2019 Workshop on Machine Learning for Autonomous Driving

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Publications

Reinforcement learning (RL) for robotics is challenging due to the difficulty in hand-engineering a dense cost function, which can lead …

Forecasting the motion of multiple interacting vehicles. When one is autonmous, conditioning on its goals helps better-predict the …

Deep learning provides a powerful tool for machine perception when the observations resemble the training data. However, real-world …

Model-based reinforcement learning (RL) algorithms can attain excellent sample efficiency, but often lag behind the best model-free …

Imitation learning is an appealing approach for autonomous control. In many tasks, demonstrations of preferred behavior can be readily …

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