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Autonomous driving technology is poised to transform transportation systems.
2007
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2010
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2017
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2017
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2017
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2019
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S. Aradi, “Survey of deep reinforcement learning for motion planning of autonomous vehicles,” IEEE Transactions on Intelligent Transportation Systems , vol. 23, no. 2, pp. 740–759, 2020
2020
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P. Hang, C. Lv, Y. Xing, C. Huang, and Z. Hu, “Human-like decision making for autonomous driving: A noncooperative game theoretic approach,” IEEE Transactions on Intelligent Transportation Systems , vol. 22, no. 4, pp. 2076–2087, 2020
2020
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S. Kai, B. Wang, D. Chen, J. Hao, H. Zhang, and W. Liu, “A multi-task reinforcement learning approach for navigating unsignalized intersections,” in 2020 IEEE Intelligent Vehicles Symposium (IV) . IEEE, 2020, pp. 1583–1588
2020
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X. Zhao, Y. Tian, and J. Sun, “Yield or rush? social-preference-aware driving interaction modeling using game-theoretic framework,” in 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) . IEEE, 2021, pp. 453–459
2021
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2022
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2022
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Cited alongside, same era.
H. Seong, C. Jung, S. Lee, and D. H. Shim, “Learning to drive at unsignalized intersections using attention-based deep reinforcement learning,” in 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) . IEEE, 2021, pp. 559–566
2021
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L. Chen, K. Lu, A. Rajeswaran, K. Lee, A. Grover, M. Laskin, P. Abbeel, A. Srinivas, and I. Mordatch, “Decision transformer: Reinforcement learning via sequence modeling,” Advances in neural information processing systems , vol. 34, pp. 15 084–15 097, 2021
2021
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J. Cai, P. Hang, and C. Lv, “Game theoretic modeling and decision making for connected vehicle interactions at urban intersections,” in 2021 6th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM) . IEEE, 2021, pp. 874–880
2021
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H. Shu, T. Liu, X. Mu, and D. Cao, “Driving tasks transfer using deep reinforcement learning for decision-making of autonomous vehicles in unsignalized intersection,” IEEE Transactions on Vehicular Technology , vol. 71, no. 1, pp. 41–52, 2021
2021
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M. Janner, Q. Li, and S. Levine, “Offline reinforcement learning as one big sequence modeling problem,” Advances in neural information processing systems , vol. 34, pp. 1273–1286, 2021
2021
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S. Casola, I. Lauriola, and A. Lavelli, “Pre-trained transformers: An empirical comparison,” Machine Learning with Applications , vol. 9, p. 100334, 2022
2022
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S. Khan, M. Naseer, M. Hayat, S. W. Zamir, F. S. Khan, and M. Shah, “Transformers in vision: A survey,” ACM computing surveys (CSUR) , vol. 54, no. 10s, pp. 1–41, 2022
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Q. Zheng, A. Zhang, and A. Grover, “Online decision transformer,” in International Conference on Machine Learning . PMLR, 2022, pp. 27 042–27 059
2022
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2022
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W. Yuan, J. Chen, S. Chen, L. Lu, Z. Hu, P. Li, D. Feng, F. Liu, and J. Chen, “Transformer in reinforcement learning for decision-making: A survey,” 2023
2023
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