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Yuecheng Liu
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2020 – today
- 2024
- [j1]Qi Liu, Yanjie Li, Yuecheng Liu, Ke Lin, Jianqi Gao, Yunjiang Lou:
Data Efficient Deep Reinforcement Learning With Action-Ranked Temporal Difference Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2949-2961 (2024) - [c8]Chang Chen, Yuecheng Liu, Yuzheng Zhuang, Sitong Mao, Kaiwen Xue, Shunbo Zhou:
SCALE: Self-Correcting Visual Navigation for Mobile Robots via Anti-Novelty Estimation. ICRA 2024: 16360-16366 - [i6]Chang Chen, Yuecheng Liu, Yuzheng Zhuang, Sitong Mao, Kaiwen Xue, Shunbo Zhou:
SCALE: Self-Correcting Visual Navigation for Mobile Robots via Anti-Novelty Estimation. CoRR abs/2404.10675 (2024) - [i5]Yueen Ma, Dafeng Chi, Shiguang Wu, Yuecheng Liu, Yuzheng Zhuang, Jianye Hao, Irwin King:
Actra: Optimized Transformer Architecture for Vision-Language-Action Models in Robot Learning. CoRR abs/2408.01147 (2024) - [i4]Lingfeng Zhang, Yuening Wang, Hongjian Gu, Atia Hamidizadeh, Zhanguang Zhang, Yuecheng Liu, Yutong Wang, David Gamaliel Arcos Bravo, Junyi Dong, Shunbo Zhou, Tongtong Cao, Yuzheng Zhuang, Yingxue Zhang, Jianye Hao:
ET-Plan-Bench: Embodied Task-level Planning Benchmark Towards Spatial-Temporal Cognition with Foundation Models. CoRR abs/2410.14682 (2024) - 2023
- [c7]Zhengbang Zhu, Shenyu Zhang, Yuzheng Zhuang, Yuecheng Liu, Minghuan Liu, Ziqing Gong, Shixiong Kai, Qiang Gu, Bin Wang, Siyuan Cheng, Xinyu Wang, Jianye Hao, Yong Yu:
RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow. DAI 2023: 6:1-6:10 - [c6]Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia:
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection. ICLR 2023 - [i3]Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia:
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection. CoRR abs/2305.05239 (2023) - 2022
- [i2]Zhengbang Zhu, Shenyu Zhang, Yuzheng Zhuang, Yuecheng Liu, Minghuan Liu, Liyuan Mao, Ziqing Gong, Weinan Zhang, Shixiong Kai, Qiang Gu, Bin Wang, Siyuan Cheng, Xinyu Wang, Jianye Hao, Yong Yu:
RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow. CoRR abs/2211.03408 (2022) - 2021
- [c5]Qi Liu, Yanjie Li, Yuecheng Liu, Meiling Chen, Shaohua Lv, Yunhong Xu:
Exploration via Distributional Reinforcement Learning with Epistemic and Aleatoric Uncertainty Estimation. CASE 2021: 2256-2261 - [c4]Yuecheng Liu, Yanjie Li, Qi Liu, Yunhong Xu, Shaohua Lv, Meiling Chen:
Efficient Power Grid Topology Control via Two-Stage Action Search. ICIRA (3) 2021: 694-704 - [c3]Yunhong Xu, Yanjie Li, Qi Liu, Jianqi Gao, Yuecheng Liu, Meiling Chen:
Multi-agent Pathfinding with Local and Global Guidance. ICNSC 2021: 1-7 - [c2]Bo Zhou, Hongsheng Zeng, Yuecheng Liu, Kejiao Li, Fan Wang, Hao Tian:
Action Set Based Policy Optimization for Safe Power Grid Management. ECML/PKDD (5) 2021: 168-181 - [c1]Meiling Chen, Yanjie Li, Qi Liu, Shaohua Lv, Yunhong Xu, Yuecheng Liu:
Towards Autonomous Driving Decision by Combining Self-attention and Deep Reinforcement Learning. RCAR 2021: 1110-1115 - [i1]Bo Zhou, Hongsheng Zeng, Yuecheng Liu, Kejiao Li, Fan Wang, Hao Tian:
Action Set Based Policy Optimization for Safe Power Grid Management. CoRR abs/2106.15200 (2021)
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last updated on 2024-12-01 01:16 CET by the dblp team
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