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Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors.

, , , , , , and . Robotics: Science and Systems, (2023)

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Deep convolutional neural networks compression method based on linear representation of kernels., , and . ICMV, volume 11041 of SPIE Proceedings, page 110412N. SPIE, (2018)CoTuner: A Hierarchical Learning Framework for Coordinately Optimizing Resource Partitioning and Parameter Tuning., , , , and . ICPP, page 317-326. ACM, (2023)OLPart: Online Learning based Resource Partitioning for Colocating Multiple Latency-Critical Jobs on Commodity Computers., , , , and . EuroSys, page 347-364. ACM, (2023)Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer., , , , and . CoRL, volume 205 of Proceedings of Machine Learning Research, page 726-737. PMLR, (2022)GAugur: Quantifying Performance Interference of Colocated Games for Improving Resource Utilization in Cloud Gaming., , , , , , , , , and . HPDC, page 231-242. ACM, (2019)GCNPart: Interference-Aware Resource Partitioning Framework with Graph Convolutional Neural Networks and Deep Reinforcement Learning., , , , , and . ICA3PP, volume 13777 of Lecture Notes in Computer Science, page 568-589. Springer, (2022)ReasonNet: End-to-End Driving with Temporal and Global Reasoning., , , , , and . CVPR, page 13723-13733. IEEE, (2023)Distance-rank Aware Sequential Reward Learning for Inverse Reinforcement Learning with Sub-optimal Demonstrations., , , , , , and . CoRR, (2023)Accelerating Reinforcement Learning for Autonomous Driving using Task-Agnostic and Ego-Centric Motion Skills., , , , and . CoRR, (2022)Accelerating Reinforcement Learning for Autonomous Driving Using Task-Agnostic and Ego-Centric Motion Skills., , , , and . IROS, page 11289-11296. (2023)