Yuzheng Zhuang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 28

Top Topics

Mutual Information

Driving Simulator

Autonomous Vehicles

Reinforcement Learning

Top Venues

Publications

Christopher E. Mower, Yuhui Wan, Hongzhan Yu, Antoine Grosnit, Jonas Gonzalez-Billandon, Matthieu Zimmer, Jinlong Wang, Xinyu Zhang, Yao Zhao, Anbang Zhai, Puze Liu, Davide Tateo, Cesar Cadena, Marco Hutter, Jan Peters, Guangjian Tian, Yuzheng Zhuang, Kun Shao, Xingyue Quan, Jianye Hao, Jun Wang, Haitham Bou-Ammar
ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning. CoRR (2024)
Suhan Ling, Yian Wang, Shiguang Wu, Yuzheng Zhuang, Tianyi Xu, Yu Li, Chang Liu, Hao Dong
Articulated Object Manipulation with Coarse-to-fine Affordance for Mitigating the Effect of Point Cloud Noise. CoRR (2024)
Suhan Ling, Yian Wang, Ruihai Wu, Shiguang Wu, Yuzheng Zhuang, Tianyi Xu, Yu Li, Chang Liu, Hao Dong
Articulated Object Manipulation with Coarse-to-fine Affordance for Mitigating the Effect of Point Cloud Noise. ICRA (2024)
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 (2024)
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)
Yueen Ma, Zixing Song, Yuzheng Zhuang, Jianye Hao, Irwin King
A Survey on Vision-Language-Action Models for Embodied AI. CoRR (2024)
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)
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 (2023)
Yueen Ma, Dafeng Chi, Jingjing Li, Yuzheng Zhuang, Jianye Hao, Irwin King
VOLTA: Diverse and Controllable Question-Answer Pair Generation with Variational Mutual Information Maximizing Autoencoder. CoRR (2023)
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)
Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo
Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning. CoRR (2022)
Minghuan Liu, Zhengbang Zhu, Menghui Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents. CoRR (2022)
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 (2022)
Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo
DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning. NeurIPS (2022)
Amir Rasouli, Randy Goebel, Matthew E. Taylor, Iuliia Kotseruba, Soheil Alizadeh, Tianpei Yang, Montgomery Alban, Florian Shkurti, Yuzheng Zhuang, Adam Scibior, Kasra Rezaee, Animesh Garg, David Meger, Jun Luo, Liam Paull, Weinan Zhang, Xinyu Wang, Xi Chen
NeurIPS 2022 Competition: Driving SMARTS. CoRR (2022)
Junjie Wang, Yao Mu, Dong Li, Qichao Zhang, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao
Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning. CoRR (2022)
Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. CoRR (2022)
Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. ICML (2022)
Zhitao Wang, Yuzheng Zhuang, Qiang Gu, Dong Chen, Hongbo Zhang, Wulong Liu
Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles. IROS (2021)
Zhihao Ma, Yuzheng Zhuang, Paul Weng, Hankz Hankui Zhuo, Dong Li, Wulong Liu, Jianye Hao
Learning Symbolic Rules for Interpretable Deep Reinforcement Learning. CoRR (2021)
Zhitao Wang, Yuzheng Zhuang, Qiang Gu, Dong Chen, Hongbo Zhang, Wulong Liu
Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles. CoRR (2021)
Yao Mu, Yuzheng Zhuang, Bin Wang, Guangxiang Zhu, Wulong Liu, Jianyu Chen, Ping Luo, Shengbo Li, Chongjie Zhang, Jianye Hao
Model-Based Reinforcement Learning via Imagination with Derived Memory. NeurIPS (2021)
Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu
Multi-Agent Interactions Modeling with Correlated Policies. ICLR (2020)
Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets. IJCAI (2020)
Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu
Multi-Agent Interactions Modeling with Correlated Policies. CoRR (2020)
Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets. CoRR (2020)
Dong Li, Dongbin Zhao, Qichao Zhang, Yuzheng Zhuang, Bin Wang
Graph Attention Memory for Visual Navigation. CoRR (2019)
Liqun Deng, Guowei Huang, Yuzheng Zhuang, Jiansheng Wei, Youliang Yan
HiGene: A high-performance platform for genomic data analysis. BIBM (2016)