Inference-based Hierarchical Reinforcement Learning for Cooperative Multi-agent Navigation. - Lijun Xia; Chao Yu; Zifan Wu (ICTAI, 2021)

Coordinated Proximal Policy Optimization. - Zifan Wu; Chao Yu 004; Deheng Ye; Junge Zhang; Haiyin Piao; Hankz Hankui Zhuo (NeurIPS, 2021)

Model-Based Multi-agent Policy Optimization with Dynamic Dependence Modeling. - Biyang Hu; Chao Yu; Zifan Wu (PDCAT, 2021)

A Unified Diversity Measure for Multiagent Reinforcement Learning. - Zongkai Liu; Chao Yu 004; Yaodong Yang 002; Peng Sun; Zifan Wu; Yuan Li (NeurIPS, 2022)

Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning. - Zifan Wu; Chao Yu 004; Chen Chen 077; Jianye Hao; Hankz Hankui Zhuo (NeurIPS, 2022)

Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning. - Zifan Wu; Chao Yu 004; Chen Chen 077; Jianye Hao; Hankz Hankui Zhuo (AAAI, 2023)

Safe Offline Reinforcement Learning with Real-Time Budget Constraints. - Qian Lin; Bo Tang; Zifan Wu; Chao Yu; Shangqin Mao; Qianlong Xie; Xingxing Wang; Dong Wang 022 (ICML, 2023)

CoalUMLP: Slice and Dice! A Fast, MLP-Like 3D Medical Image Segmentation Network. - Ruoyu Wu; Zifan Wu; Xue Hu; Lei Zhang (PRICAI (3), 2023)

Policy-regularized Offline Multi-objective Reinforcement Learning. - Qian Lin; Chao Yu 004; Zongkai Liu; Zifan Wu (AAMAS, 2024)

Off-Policy Primal-Dual Safe Reinforcement Learning. - Zifan Wu; Bo Tang; Qian Lin; Chao Yu; Shangqin Mao; Qianlong Xie; Xingxing Wang; Dong Wang 022 (ICLR, 2024)

Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent. - Xingwu Sun; Yanfeng Chen; Yiqing Huang; Ruobing Xie; Jiaqi Zhu 004; Kai Zhang 033; Shuaipeng Li; Zhen Yang; Jonny Han; Xiaobo Shu; Jiahao Bu; Zhongzhi Chen; et al. (CoRR, 2024)