Zifan Wu - RankMe

16 papers A* 6A 1B 1C 1Journal 6Unranked 1

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