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2020 – today
- 2024
[c10]Qian Lin, Chao Yu, Zongkai Liu, Zifan Wu:
Policy-regularized Offline Multi-objective Reinforcement Learning. AAMAS 2024: 1201-1209- [c9]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 - [i6]Qian Lin, Chao Yu, Zongkai Liu, Zifan Wu:
Policy-regularized Offline Multi-objective Reinforcement Learning. CoRR abs/2401.02244 (2024) - [i5]Zifan Wu, Bo Tang, Qian Lin, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang:
Off-Policy Primal-Dual Safe Reinforcement Learning. CoRR abs/2401.14758 (2024) - 2023
- [c8]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: 10435-10443 - [c7]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: 21127-21152 - [c6]Ruoyu Wu, Zifan Wu, Xue Hu, Lei Zhang:
CoalUMLP: Slice and Dice! A Fast, MLP-Like 3D Medical Image Segmentation Network. PRICAI (3) 2023: 81-92 - [i4]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 abs/2301.08502 (2023) - [i3]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 abs/2303.17984 (2023) - [i2]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 abs/2306.00603 (2023) - 2022
- [c5]Zongkai Liu, Chao Yu, Yaodong Yang, Peng Sun, Zifan Wu, Yuan Li:
A Unified Diversity Measure for Multiagent Reinforcement Learning. NeurIPS 2022 - [c4]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 - 2021
- [c3]Lijun Xia, Chao Yu, Zifan Wu:
Inference-based Hierarchical Reinforcement Learning for Cooperative Multi-agent Navigation. ICTAI 2021: 57-64 - [c2]Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo:
Coordinated Proximal Policy Optimization. NeurIPS 2021: 26437-26448 - [c1]Biyang Hu, Chao Yu, Zifan Wu:
Model-Based Multi-agent Policy Optimization with Dynamic Dependence Modeling. PDCAT 2021: 396-411 - [i1]Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo:
Coordinated Proximal Policy Optimization. CoRR abs/2111.04051 (2021)
Coauthor Index
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