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NeurIPS 2022 Competition: Driving SMARTS., , , , , , , , , and 8 other author(s). CoRR, (2022)Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome., , , , , , , , , and 4 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 73-84. PMLR, (2021)Adaptive Traffic Signal Control With Deep Reinforcement Learning and High Dimensional Sensory Inputs: Case Study and Comprehensive Sensitivity Analyses., and . IEEE Trans. Intell. Transp. Syst., 23 (11): 20021-20035 (2022)Multimodal iNtelligent Deep (MiND) Traffic Signal Controller., and . ITSC, page 4532-4539. IEEE, (2019)DESTINE: Dynamic Goal Queries with Temporal Transductive Alignment for Trajectory Prediction., , and . CoRR, (2023)AMEND: A Mixture of Experts Framework for Long-tailed Trajectory Prediction., , , and . CoRR, (2024)DICE: Diverse Diffusion Model with Scoring for Trajectory Prediction., , , and . CoRR, (2023)Deep Learning vs. Discrete Reinforcement Learning for Adaptive Traffic Signal Control., and . ITSC, page 286-293. IEEE, (2018)Cycle-level vs. Second-by-Second Adaptive Traffic Signal Control using Deep Reinforcement Learning., , , and . ITSC, page 1-8. IEEE, (2020)