Chao Yu - RankMe

94 papers A* 18A 9B 5Journal 51Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Reliability-Guaranteed and Reward-Seeking Sequence Modeling for Model-Based Offline Reinforcement Learning. AAAI Shenghong He, Chao Yu, Qian Lin, Yile Liang, Donghui Li, Xuetao Ding
2025	J	`jnl`	CPGD: Toward Stable Rule-based Reinforcement Learning for Language Models. CoRR Zongkai Liu, Fanqing Meng, Lingxiao Du, Zhixiang Zhou, Chao Yu, Wenqi Shao, Qiaosheng Zhang
2025	A*	`conf`	Conservative Offline Goal-Conditioned Implicit V-Learning. ICML Kaiqiang Ke, Qian Lin, Zongkai Liu, Shenghong He, Chao Yu
2025	A*	`conf`	Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning. ICLR Hanlin Yang, Jian Yao, Weiming Liu, Qing Wang, Hanmin Qin, Hansheng Kong, Kirk Tang, Jiechao Xiong, Chao Yu, Kai Li, Junliang Xing, Hongwu Chen, Juchao Zhuo, Qiang Fu, Yang Wei, Haobo Fu
2025	J	`jnl`	Hierarchical Multi-Agent Meta-Reinforcement Learning for Cross-Channel Bidding. IEEE Trans. Knowl. Data Eng. Shenghong He, Chao Yu, Qian Lin, Shangqin Mao, Bo Tang, Qianlong Xie, Xingxing Wang
2025	J	`jnl`	Hierarchical task network-enhanced multi-agent reinforcement learning: Toward efficient cooperative strategies. Neural Networks Xuechen Mu, Hankz Hankui Zhuo, Chen Chen, Kai Zhang, Chao Yu, Jianye Hao
2025	A*	`conf`	Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization. AAAI Zongkai Liu, Qian Lin, Chao Yu, Xiawei Wu, Yile Liang, Donghui Li, Xuetao Ding
2025	A*	`conf`	Rapid Learning in Constrained Minimax Games with Negative Momentum. AAAI Zijian Fang, Zongkai Liu, Chao Yu, Chaohao Hu
2025	J	`jnl`	Rapid Learning in Constrained Minimax Games with Negative Momentum. CoRR Zijian Fang, Zongkai Liu, Chao Yu, Chaohao Hu
2024	A*	`conf`	An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning. NeurIPS Qian Lin, Zongkai Liu, Danying Mo, Chao Yu
2024	J	`jnl`	An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning. CoRR Qian Lin, Zongkai Liu, Danying Mo, Chao Yu
2024	J	`jnl`	An Offline-Transfer-Online Framework for Cloud-Edge Collaborative Distributed Reinforcement Learning. IEEE Trans. Parallel Distributed Syst. Tianyu Zeng, Xiaoxi Zhang, Jingpu Duan, Chao Yu, Chuan Wu, Xu Chen
2024	J	`jnl`	Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning. CoRR Hanlin Yang, Jian Yao, Weiming Liu, Qing Wang, Hanmin Qin, Hansheng Kong, Kirk Tang, Jiechao Xiong, Chao Yu, Kai Li, Junliang Xing, Hongwu Chen, Juchao Zhuo, Qiang Fu, Wei Yang, Haobo Fu
2024	J	`jnl`	Hierarchical Multi-agent Meta-Reinforcement Learning for Cross-channel Bidding. CoRR Shenghong He, Chao Yu
2024	J	`jnl`	Leveraging Joint-Action Embedding in Multiagent Reinforcement Learning for Cooperative Games. IEEE Trans. Games Xingzhou Lou, Junge Zhang, Yali Du, Chao Yu, Zhaofeng He, Kaiqi Huang
2024	J	`jnl`	Multi-Agent Reinforcement Learning with a Hierarchy of Reward Machines. CoRR Xuejing Zheng, Chao Yu
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	J	`jnl`	Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization. CoRR Zongkai Liu, Qian Lin, Chao Yu, Xiawei Wu, Yile Liang, Donghui Li, Xuetao Ding
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
2024	—	`conf`	RegFTRL: Efficient Equilibrium Learning in Two-Player Zero-Sum Games. DAI Zijian Fang, Zongkai Liu, Chao Yu
2024	J	`jnl`	Revisiting Discrete Soft Actor-Critic. Trans. Mach. Learn. Res. Haibin Zhou, Tong Wei, Zichuan Lin, Junyou Li, Junliang Xing, Yuanchun Shi, Li Shen, Chao Yu, Deheng Ye
2023	A*	`conf`	Causal Deep Reinforcement Learning Using Observational Data. IJCAI Wenxuan Zhu, Chao Yu, Qiang Zhang
2023	J	`jnl`	Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning. CoRR Xuechen Mu, Hankz Hankui Zhuo, Chen Chen, Kai Zhang, Chao Yu, Jianye Hao
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	J	`jnl`	Reinforcement Learning in Healthcare: A Survey. ACM Comput. Surv. Chao Yu, Jiming Liu, Shamim Nemati, Guosheng Yin
2023	J	`jnl`	Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey. CoRR Chao Yu, Xuejing Zheng, Hankz Hankui Zhuo, Hai Wan, Weilin Luo
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
2023	J	`jnl`	Spatiotemporal Relationship Cognitive Learning for Multirobot Air Combat. IEEE Trans. Cogn. Dev. Syst. Haiyin Piao, Yue Han, Shaoming He, Chao Yu, Songyuan Fan, Yaqing Hou, Chengchao Bai, Li Mo
2023	A*	`conf`	Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks. AAAI Pei Xu, Junge Zhang, Qiyue Yin, Chao Yu, Yaodong Yang, Kaiqi Huang
2023	J	`jnl`	Towards more efficient and robust evaluation of sepsis treatment with deep reinforcement learning. BMC Medical Informatics Decis. Mak. Chao Yu, Qikai Huang
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	J	`jnl`	Causal Deep Reinforcement Learning using Observational Data. CoRR Wenxuan Zhu, Chao Yu, Qiang Zhang
2022	A*	`conf`	Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning. AAAI Mu Jin, Zhihao Ma, Kebing Jin, Hankz Hankui Zhuo, Chen Chen, Chao Yu
2022	J	`jnl`	Lifelong reinforcement learning with temporal logic formulas and reward machines. Knowl. Based Syst. Xuejing Zheng, Chao Yu, Minjie Zhang
2022	J	`jnl`	Multi-Agent Transfer Reinforcement Learning With Multi-View Encoder for Adaptive Traffic Signal Control. IEEE Trans. Intell. Transp. Syst. Hongwei Ge, Dongwan Gao, Liang Sun, Yaqing Hou, Chao Yu, Yuxin Wang, Guozhen Tan
2022	J	`jnl`	Offline reinforcement learning with representations for actions. Inf. Sci. Xingzhou Lou, Qiyue Yin, Junge Zhang, Chao Yu, Zhaofeng He, Nengjie Cheng, Kaiqi Huang
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	—	`conf`	Combining Model-Based and Model-Free Reinforcement Learning Policies for More Efficient Sepsis Treatment. ISBRA Xiangyu Liu, Chao Yu, Qikai Huang, Luhao Wang, Jianfeng Wu, Xiangdong Guan
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	J	`jnl`	Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning. CoRR Mu Jin, Zhihao Ma, Kebing Jin, Hankz Hankui Zhuo, Chen Chen, Chao Yu
2021	J	`jnl`	Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines. CoRR Xuejing Zheng, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo
2020	—	`conf`	D3PG: Decomposed Deep Deterministic Policy Gradient for Continuous Control. DAI Yinzhao Dong, Chao Yu, Hongwei Ge
2020	A	`conf`	Decomposed Deep Reinforcement Learning for Robotic Control. AAMAS Yinzhao Dong, Chao Yu, Paul Weng, Ahmed Maustafa, Hui Cheng, Hongwei Ge
2020	J	`jnl`	Distributed Multiagent Coordinated Learning for Autonomous Driving in Highways Based on Dynamic Coordination Graphs. IEEE Trans. Intell. Transp. Syst. Chao Yu, Xin Wang, Xin Xu, Minjie Zhang, Hongwei Ge, Jiankang Ren, Liang Sun, Bingcai Chen, Guozhen Tan
2020	A	`conf`	Interactive RL via Online Human Demonstrations. AAMAS Chao Yu, Tianpei Yang, Wenxuan Zhu, Yinzhao Dong, Guangliang Li
2020	J	`jnl`	Supervised-actor-critic reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units. BMC Medical Informatics Decis. Mak. Chao Yu, Guoqi Ren, Yinzhao Dong
2020	B	`conf`	Two-stage Automatic Image Annotation Based on Latent Semantic Scene Classification. IJCNN Hongwei Ge, Kai Zhang, Yaqing Hou, Chao Yu, Mingde Zhao, Zhen Wang, Liang Sun
2019	J	`jnl`	Adversarial Examples for CNN-Based Malware Detectors. IEEE Access Bingcai Chen, Zhongru Ren, Chao Yu, Iftikhar Hussain, Jintao Liu
2019	A	`conf`	Coordinated Multiagent Reinforcement Learning for Teams of Mobile Sensing Robots. AAMAS Chao Yu, Xin Wang, Zhanbo Feng
2019	—	`conf`	Deep Inverse Reinforcement Learning for Sepsis Treatment. ICHI Chao Yu, Guoqi Ren, Jiming Liu
2019	J	`jnl`	Execution allowance based fixed priority scheduling for probabilistic real-time systems. J. Syst. Softw. Jiankang Ren, Zichuan Xu, Chao Yu, Chi Lin, Guowei Wu, Guozhen Tan
2019	J	`jnl`	Incorporating causal factors into reinforcement learning for dynamic treatment regimes in HIV. BMC Medical Informatics Decis. Mak. Chao Yu, Yinzhao Dong, Jiming Liu, Guoqi Ren
2019	J	`jnl`	Inverse reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units. BMC Medical Informatics Decis. Mak. Chao Yu, Jiming Liu, Hongyi Zhao
2019	A*	`conf`	Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework. IJCAI Yaodong Yang, Jianye Hao, Yan Zheng, Chao Yu
2019	B	`conf`	Multi-Grained Cascade AdaBoost Extreme Learning Machine for Feature Representation. IJCNN Hongwei Ge, Weiting Sun, Mingde Zhao, Kai Zhang, Liang Sun, Chao Yu
2019	A	`conf`	Reinforcement Learning for Cooperative Overtaking. AAMAS Chao Yu, Xin Wang, Jianye Hao, Zhanbo Feng
2019	J	`jnl`	Reinforcement Learning in Healthcare: A Survey. CoRR Chao Yu, Jiming Liu, Shamim Nemati
2019	A*	`conf`	The Price of Governance: A Middle Ground Solution to Coordination in Organizational Control. IJCAI Chao Yu, Guozhen Tan
2019	A*	`conf`	Workload-Aware Harmonic Partitioned Scheduling of Periodic Real-Time Tasks with Constrained Deadlines. DAC Jiankang Ren, Xiaoyan Su, Guoqi Xie, Chao Yu, Guozhen Tan, Guowei Wu
2018	J	`jnl`	A Saliency Map Fusion Method Based on Weighted DS Evidence Theory. IEEE Access Bingcai Chen, Xin Tao, Manrou Yang, Chao Yu, Weimin Pan, Victor C. M. Leung
2018	—	`conf`	Adaptively Shaping Reinforcement Learning Agents via Human Reward. PRICAI (1) Chao Yu, Dongxu Wang, Tianpei Yang, Wenxuan Zhu, Yuchen Li, Hongwei Ge, Jiankang Ren
2018	—	`conf`	Decentralized Multiagent Reinforcement Learning for Efficient Robotic Control by Coordination Graphs. PRICAI (1) Chao Yu, Dongxu Wang, Jiankang Ren, Hongwei Ge, Liang Sun
2018	J	`jnl`	Efficient and Robust Emergence of Norms through Heuristic Collective Learning. ACM Trans. Auton. Adapt. Syst. Jianye Hao, Jun Sun, Guangyong Chen, Zan Wang, Chao Yu, Zhong Ming
2018	J	`jnl`	Learning Shaping Strategies in Human-in-the-loop Interactive Reinforcement Learning. CoRR Chao Yu, Tianpei Yang, Wenxuan Zhu, Dongxu Wang, Guangliang Li
2018	J	`jnl`	Packet Multicast in Cognitive Radio Ad Hoc Networks: A Method Based on Random Network Coding. IEEE Access Bingcai Chen, Zhenguo Gao, Manrou Yang, Qian Ning, Chao Yu, Weimin Pan, Mei Nian, Dongmei Xie
2018	J	`jnl`	基于被包围状态和马尔可夫模型的显著性检测 (Saliency Detection Based on Surroundedness and Markov Model). 计算机科学 Bingcai Chen, Xibao Wang, Chao Yu, Mei Nian, Xin Tao, Weimin Pan, Zhimao Lu
2017	J	`jnl`	APDM: An adaptive multi-priority distributed multichannel MAC protocol for vehicular ad hoc networks in unsaturated conditions. Comput. Commun. Caixia Song, Guozhen Tan, Chao Yu, Nan Ding, Fuxin Zhang
2017	J	`jnl`	An Efficient and QoS Supported Multichannel MAC Protocol for Vehicular Ad Hoc Networks. Sensors Caixia Song, Guozhen Tan, Chao Yu
2017	J	`jnl`	Fair Transmission Rate Adjustment in Cooperative Vehicle Safety Systems Based on Multi-Agent Model Predictive Control. IEEE Trans. Veh. Technol. Fuxin Zhang, Guozhen Tan, Chao Yu, Nan Ding, Caixia Song, Ming-Jian Liu
2017	—	`conf`	Neural learning for the emergence of social norms in multiagent systems. ICA Chao Yu, Yatong Chen, Hongtao Lv, Jiankang Ren, Hongwei Ge, Liang Sun
2016	A	`conf`	Accelerating Norm Emergence Through Hierarchical Heuristic Learning. ECAI Tianpei Yang, Zhaopeng Meng, Jianye Hao, Sandip Sen, Chao Yu
2016	B	`conf`	Adaptive Learning for Efficient Emergence of Social Norms in Networked Multiagent Systems. PRICAI Chao Yu, Hongtao Lv, Sandip Sen, Fenghui Ren, Guozhen Tan
2016	A	`conf`	An Adaptive Learning Framework for Efficient Emergence of Social Norms: (Extended Abstract). AAMAS Chao Yu, Hongtao Lv, Sandip Sen, Jianye Hao, Fenghui Ren, Rui Liu
2016	J	`jnl`	Dynamic Feedback Power Control for Cooperative Vehicle Safety Systems. Wirel. Pers. Commun. Fuxin Zhang, Guozhen Tan, Chao Yu, Nan Ding, Caixia Song
2016	J	`jnl`	Fair Channel Access in Cooperative Vehicle Safety Systems. J. Inf. Sci. Eng. Fuxin Zhang, Guozhen Tan, Chao Yu, Nan Ding, Ming-Jian Liu
2016	J	`jnl`	Model Reference Adaptive Power Control for Cooperative Vehicle Safety Systems. J. Inf. Sci. Eng. Fuxin Zhang, Guozhen Tan, Chao Yu, Nan Ding, Caixia Song
2015	—	`conf`	A Multi-Agent Approach for Decentralized Voltage Regulation by Considering Distributed Generators. Australasian Conference on Artificial Intelligence Fenghui Ren, Minjie Zhang, Chao Yu
2015	J	`jnl`	Emotional Multiagent Reinforcement Learning in Spatial Social Dilemmas. IEEE Trans. Neural Networks Learn. Syst. Chao Yu, Minjie Zhang, Fenghui Ren, Guozhen Tan
2015	A	`conf`	Heuristic Collective Learning for Efficient and Robust Emergence of Social Norms. AAMAS Jianye Hao, Jun Sun, Dongping Huang, Yi Cai, Chao Yu
2015	—	`conf`	Hierarchical Learning for Emergence of Social Norms in Networked Multiagent Systems. Australasian Conference on Artificial Intelligence Chao Yu, Hongtao Lv, Fenghui Ren, Honglin Bao, Jianye Hao
2015	J	`jnl`	Multiagent Learning of Coordination in Loosely Coupled Multiagent Systems. IEEE Trans. Cybern. Chao Yu, Minjie Zhang, Fenghui Ren, Guozhen Tan
2014	J	`jnl`	Collective Learning for the Emergence of Social Norms in Networked Multiagent Systems. IEEE Trans. Cybern. Chao Yu, Minjie Zhang, Fenghui Ren
2014	J	`jnl`	Coordinated learning by exploiting sparse interaction in multiagent systems. Concurr. Comput. Pract. Exp. Chao Yu, Minjie Zhang, Fenghui Ren
2013	—	`ch.`	An Adaptive Bilateral Negotiation Model Based on Bayesian Learning. Complex Automated Negotiations Chao Yu, Fenghui Ren, Minjie Zhang
2013	A	`conf`	Emergence of social norms through collective learning in networked agent societies. AAMAS Chao Yu, Minjie Zhang, Fenghui Ren, Xudong Luo
2013	B	`conf`	Emotional Multiagent Reinforcement Learning in Social Dilemmas. PRIMA Chao Yu, Minjie Zhang, Fenghui Ren
2012	B	`conf`	Exploiting Independent Relationships in Multiagent Systems for Coordinated Learning. PRICAI Chao Yu, Minjie Zhang, Fenghui Ren
2011	—	`conf`	Coordinated Learning for Loosely Coupled Agents with Sparse Interactions. Australasian Conference on Artificial Intelligence Chao Yu, Minjie Zhang, Fenghui Ren