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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)Stochastic optimization using a trust-region method and random models., , and . Math. Program., 169 (2): 447-487 (2018)OLPart: Online Learning based Resource Partitioning for Colocating Multiple Latency-Critical Jobs on Commodity Computers., , , , and . EuroSys, page 347-364. ACM, (2023)CoTuner: A Hierarchical Learning Framework for Coordinately Optimizing Resource Partitioning and Parameter Tuning., , , , and . ICPP, page 317-326. ACM, (2023)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)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)Jointly Optimizing Job Assignment and Resource Partitioning for Improving System Throughput in Cloud Datacenters., , , , , and . ACM Trans. Archit. Code Optim., 20 (3): 34:1-34:24 (September 2023)Deep Learning Assisted Resource Partitioning for Improving Performance on Commodity Servers., , , , , , , and . PACT, page 153-154. ACM, (2020)Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors., , , , , , and . Robotics: Science and Systems, (2023)