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RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow.

Z. Zhu, S. Zhang, Y. Zhuang, Y. Liu, M. Liu, L. Mao, Z. Gong, W. Zhang, S. Kai, Q. Gu, B. Wang, S. Cheng, X. Wang, J. Hao, и Y. Yu. CoRR, (2022)

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Liu Liu

Liu Liu

Liu Liu

Wei Liu

Lu Liu

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Efficient Power Grid Topology Control via Two-Stage Action Search.Y. Liu, Y. Li, Q. Liu, Y. Xu, S. Lv, и M. Chen. ICIRA (3), том 13015 из Lecture Notes in Computer Science, стр. 694-704. Springer, (2021)Multi-agent Pathfinding with Local and Global Guidance.Y. Xu, Y. Li, Q. Liu, J. Gao, Y. Liu, и M. Chen. ICNSC, стр. 1-7. IEEE, (2021)RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow.Z. Zhu, S. Zhang, Y. Zhuang, Y. Liu, M. Liu, L. Mao, Z. Gong, W. Zhang, S. Kai, Q. Gu und 5 andere Autor(en). CoRR, (2022)Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection.J. Fan, Y. Zhuang, Y. Liu, J. Hao, B. Wang, J. Zhu, H. Wang, und S. Xia. CoRR, (2023)RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow.Z. Zhu, S. Zhang, Y. Zhuang, Y. Liu, M. Liu, Z. Gong, S. Kai, Q. Gu, B. Wang, S. Cheng und 3 andere Autor(en). DAI, Seite 6:1-6:10. ACM, (2023)Exploration via Distributional Reinforcement Learning with Epistemic and Aleatoric Uncertainty Estimation.Q. Liu, Y. Li, Y. Liu, M. Chen, S. Lv, und Y. Xu. CASE, Seite 2256-2261. IEEE, (2021)Action Set Based Policy Optimization for Safe Power Grid Management.B. Zhou, H. Zeng, Y. Liu, K. Li, F. Wang, und H. Tian. ECML/PKDD (5), Volume 12979 von Lecture Notes in Computer Science, Seite 168-181. Springer, (2021)Towards Autonomous Driving Decision by Combining Self-attention and Deep Reinforcement Learning.M. Chen, Y. Li, Q. Liu, S. Lv, Y. Xu, und Y. Liu. RCAR, Seite 1110-1115. IEEE, (2021)SCALE: Self-Correcting Visual Navigation for Mobile Robots via Anti-Novelty Estimation.C. Chen, Y. Liu, Y. Zhuang, S. Mao, K. Xue, und S. Zhou. CoRR, (2024)