Multi-Agent Reinforcement Learning with Graph Clustering. - Tianze Zhou; Fubiao Zhang; Chenfei Wang (CoRR, 2020)

BGC: Multi-agent Group Belief with Graph Clustering. - Tianze Zhou; Fubiao Zhang; Pan Tang; Chenfei Wang (DAI, 2021)

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. - 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; et al. (NeurIPS (Competition and Demos), 2021)

Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. - Tianze Zhou; Fubiao Zhang; Kun Shao; Kai Li 022; Wenhan Huang; Jun Luo 009; Weixun Wang; Yaodong Yang 002; Hangyu Mao; Bin Wang 034; Dong Li 016; Wulong Liu; et al. (CoRR, 2021)

Multiagent Q-learning with Sub-Team Coordination. - Wenhan Huang; Kai Li 022; Kun Shao; Tianze Zhou; Jun Luo 009; Dongge Wang 001; Hangyu Mao; Jianye Hao; Jun Wang 012; Xiaotie Deng (AAMAS, 2022)

Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System. - Zipeng Dai; Tianze Zhou; Kun Shao; David Henry Mguni; Bin Wang 034; Jianye Hao (CoRL, 2022)

Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration. - Jiayu Miao; Tianze Zhou; Kun Shao; Ming Zhou 006; Weinan Zhang 001; Jianye Hao; Yong Yu 001; Jun Wang 012 (ICRA, 2022)

Multiagent Q-learning with Sub-Team Coordination. - Wenhan Huang; Kai Li 022; Kun Shao; Tianze Zhou; Matthew E. Taylor; Jun Luo 009; Dongge Wang 001; Hangyu Mao; Jianye Hao; Jun Wang 012; Xiaotie Deng (NeurIPS, 2022)

Color-to-Depth Mappings as Depth Cues in Virtual Reality. - Zhipeng Li 001; Yikai Cui; Tianze Zhou; Yu Jiang; Yuntao Wang 001; Yukang Yan; Michael Nebeling; Yuanchun Shi (UIST, 2022)

The Impact of Digitization on Green Innovation Performance: Evidence Based on Panel Data of 228 Prefectural-Level Cities in China. - Lijiang Jia; Xiaoli Hu; Zhongwei Zhao; Tianze Zhou; Weiming Liu; Bin He (Complex., 2022)

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. - 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; et al. (CoRR, 2023)

Deep learning applications in games: a survey from a data perspective. - Zhipeng Hu; Yu Ding 001; Runze Wu 001; Lincheng Li; Rongsheng Zhang; Yujing Hu; Feng Qiu; Zhimeng Zhang; Kai Wang 064; Shiwei Zhao; Yongqiang Zhang 003; Ji Jiang; et al. (Appl. Intell., 2023)

Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets. - Yihuan Mao; Chengjie Wu; Xi Chen; Hao Hu 006; Ji Jiang; Tianze Zhou; Tangjie Lv; Changjie Fan; Zhipeng Hu; Yi Wu 013; Yujing Hu; Chongjie Zhang (ICLR, 2024)

XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques. - Yu Xiong; Zhipeng Hu; Ye Huang; Runze Wu 001; Kai Guan; Xingchen Fang; Ji Jiang; Tianze Zhou; Yujing Hu; Haoyu Liu; Tangjie Lyu; Changjie Fan (KDD, 2024)

Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition. - Tianze Zhou; Fubiao Zhang; Kun Shao; Zipeng Dai; Kai Li 022; Wenhan Huang; Weixun Wang; Bin Wang 034; Dong Li 016; Wulong Liu; Jianye Hao (IEEE Trans. Games, 2024)

Reinforcement Learning from Imperfect Corrective Actions and Proxy Rewards. - Zhaohui Jiang; Xuening Feng; Paul Weng; Yifei Zhu; Yan Song; Tianze Zhou; Yujing Hu; Tangjie Lv; Changjie Fan (ICLR, 2025)