Tianze Zhou

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Reinforcement Learning

Top Venues

IEEE Trans. Games

NeurIPS (Competition and Demos)

Publications

Yu Xiong, Zhipeng Hu, Ye Huang, Runze Wu, Kai Guan, Xingchen Fang, Ji Jiang, Tianze Zhou, Yujing Hu, Haoyu Liu, Tangjie Lyu, Changjie Fan
XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques. CoRR (2024)
Yihuan Mao, Chengjie Wu, Xi Chen, Hao Hu, Ji Jiang, Tianze Zhou, Tangjie Lv, Changjie Fan, Zhipeng Hu, Yi Wu, Yujing Hu, Chongjie Zhang
Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets. ICLR (2024)
Tianze Zhou, Fubiao Zhang, Kun Shao, Zipeng Dai, Kai Li, Wenhan Huang, Weixun Wang, Bin Wang, Dong Li, Wulong Liu, Jianye Hao
Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition. IEEE Trans. Games 16 (2) (2024)
Yu Xiong, Zhipeng Hu, Ye Huang, Runze Wu, Kai Guan, Xingchen Fang, Ji Jiang, Tianze Zhou, Yujing Hu, Haoyu Liu, Tangjie Lyu, Changjie Fan
XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques. KDD (2024)
Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Sharada P. Mohanty, Byron Galbraith, Ke Chen, Yan Song, Tianze Zhou, Bingquan Yu, He Liu, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. CoRR (2023)
Zhipeng Hu, Yu Ding, Runze Wu, Lincheng Li, Rongsheng Zhang, Yujing Hu, Feng Qiu, Zhimeng Zhang, Kai Wang, Shiwei Zhao, Yongqiang Zhang, Ji Jiang, Yadong Xi, Jiashu Pu, Wei Zhang, Suzhen Wang, Ke Chen, Tianze Zhou, Jiarui Chen, Yan Song, Tangjie Lv, Changjie Fan
Deep learning applications in games: a survey from a data perspective. Appl. Intell. 53 (24) (2023)
Jiayu Miao, Tianze Zhou, Kun Shao, Ming Zhou, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang
Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration. ICRA (2022)
Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng
Multiagent Q-learning with Sub-Team Coordination. AAMAS (2022)
Lijiang Jia, Xiaoli Hu, Zhongwei Zhao, Tianze Zhou, Weiming Liu, Bin He
The Impact of Digitization on Green Innovation Performance: Evidence Based on Panel Data of 228 Prefectural-Level Cities in China. Complex. 2022 (2022)
Zhipeng Li, Yikai Cui, Tianze Zhou, Yu Jiang, Yuntao Wang, Yukang Yan, Michael Nebeling, Yuanchun Shi
Color-to-Depth Mappings as Depth Cues in Virtual Reality. UIST (2022)
Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew E. Taylor, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng
Multiagent Q-learning with Sub-Team Coordination. NeurIPS (2022)
Zipeng Dai, Tianze Zhou, Kun Shao, David Henry Mguni, Bin Wang, Jianye Hao
Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System. CoRL (2022)
Tianze Zhou, Fubiao Zhang, Kun Shao, Kai Li, Wenhan Huang, Jun Luo, Weixun Wang, Yaodong Yang, Hangyu Mao, Bin Wang, Dong Li, Wulong Liu, Jianye Hao
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. CoRR (2021)
Tianze Zhou, Fubiao Zhang, Pan Tang, Chenfei Wang
BGC: Multi-agent Group Belief with Graph Clustering. DAI (2021)
Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Sharada P. Mohanty, Byron Galbraith, Ke Chen, Yan Song, Tianze Zhou, Bingquan Yu, He Liu, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Lucas Cazzonelli, Cedric Kulbach, Nicholas Popovic, Marvin Schweizer, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. NeurIPS (Competition and Demos) (2021)
Tianze Zhou, Fubiao Zhang, Chenfei Wang
Multi-Agent Reinforcement Learning with Graph Clustering. CoRR (2020)