Zifan Wu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 16

Top Topics

Budget Constraints

Interior Point Algorithm

Reinforcement Learning

Partially Observable Environments

Top Venues

Publications

Qian Lin, Chao Yu, Zongkai Liu, Zifan Wu
Policy-regularized Offline Multi-objective Reinforcement Learning. CoRR (2024)
Zifan Wu, Bo Tang, Qian Lin, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang
Off-Policy Primal-Dual Safe Reinforcement Learning. CoRR (2024)
Zifan Wu, Bo Tang, Qian Lin, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang
Off-Policy Primal-Dual Safe Reinforcement Learning. ICLR (2024)
Qian Lin, Chao Yu, Zongkai Liu, Zifan Wu
Policy-regularized Offline Multi-objective Reinforcement Learning. AAMAS (2024)
Qian Lin, Bo Tang, Zifan Wu, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang
Safe Offline Reinforcement Learning with Real-Time Budget Constraints. ICML (2023)
Ruoyu Wu, Zifan Wu, Xue Hu, Lei Zhang
CoalUMLP: Slice and Dice! A Fast, MLP-Like 3D Medical Image Segmentation Network. PRICAI (3) (2023)
Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo
Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement Learning. CoRR (2023)
Qian Lin, Bo Tang, Zifan Wu, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang
Safe Offline Reinforcement Learning with Real-Time Budget Constraints. CoRR (2023)
Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning. CoRR (2023)
Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning. AAAI (2023)
Zongkai Liu, Chao Yu, Yaodong Yang, Peng Sun, Zifan Wu, Yuan Li
A Unified Diversity Measure for Multiagent Reinforcement Learning. NeurIPS (2022)
Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo
Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning. NeurIPS (2022)
Biyang Hu, Chao Yu, Zifan Wu
Model-Based Multi-agent Policy Optimization with Dynamic Dependence Modeling. PDCAT (2021)
Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo
Coordinated Proximal Policy Optimization. NeurIPS (2021)
Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo
Coordinated Proximal Policy Optimization. CoRR (2021)
Lijun Xia, Chao Yu, Zifan Wu
Inference-based Hierarchical Reinforcement Learning for Cooperative Multi-agent Navigation. ICTAI (2021)