Autonomous Driving at NeurIPS 2022

Co-organizing the NeurIPS 2022 ML4AD Workshop

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Autonomous vehicle software is typically structured as a modular pipeline of individual components (e.g., perception, prediction, and …

The ability to learn reward functions plays an important role in enabling the deployment of intelligent agents in the real world. …

Reasoning about the future behavior of other agents is critical to safe robot navigation. The multiplicity of plausible futures is …

Humans have a remarkable ability to make decisions by accurately reasoning about future events, including the future behaviors and …

While reinforcement learning algorithms provide automated acquisition of optimal policies, practical application of such methods …

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