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Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?

, , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 3145-3153. PMLR, (2020)

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Extending Deep Model Predictive Control with Safety Augmented Value Estimation from Demonstrations, , , , , , , , and . (2019)cite arxiv:1905.13402.Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty., , , and . ICRA, page 2083-2089. IEEE, (2019)Bayesian learning for data-efficient control.. University of Cambridge, UK, (2017)British Library, EThOS.Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty., , , , , , and . IROS, page 12196-12203. IEEE, (2022)S2Net: Stochastic Sequential Pointcloud Forecasting., , , , , , and . ECCV (27), volume 13687 of Lecture Notes in Computer Science, page 549-564. Springer, (2022)Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models., , , , , , and . ICRA, page 13663-13669. IEEE, (2021)Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research., , , , , , , , , and 12 other author(s). CoRR, (2023)PRECOG: PREdiction Conditioned on Goals in Visual Multi-Agent Settings., , , and . ICCV, page 2821-2830. IEEE, (2019)Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning., , , , , , and . IJCAI, page 4745-4753. ijcai.org, (2017)Deep Imitative Models for Flexible Inference, Planning, and Control., , and . CoRR, (2018)