Tianpei Yang - RankMe

71 papers A* 18A 11B 2Journal 35Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning. AAAI Hongye Cao, Tianpei Yang, Fan Feng, Hammadi Rafik Ouariachi, Yali Du, Meng Fang, Jing Huo, Yang Gao
2026	A*	`conf`	Faster Game Solving via Asymmetry of Step Sizes. AAAI Linjian Meng, Tianpei Yang, Youzhi Zhang, Zhenxing Ge, Yang Gao
2026	J	`jnl`	Thinking-Based Non-Thinking: Solving the Reward Hacking Problem in Training Hybrid Reasoning Models via Reinforcement Learning. CoRR Siyuan Gan, Jiaheng Liu, Boyan Wang, Tianpei Yang, Runqing Miao, Yuyao Zhang, Fanyu Meng, Junlan Feng, Linjian Meng, Jing Huo, Yang Gao
2025	J	`jnl`	Asynchronous Predictive Counterfactual Regret Minimization CoRR Linjian Meng, Youzhi Zhang, Zhenxing Ge, Tianpei Yang, Yang Gao
2025	A*	`conf`	Causal Information Prioritization for Efficient Reinforcement Learning. ICLR Hongye Cao, Fan Feng, Tianpei Yang, Jing Huo, Yang Gao
2025	J	`jnl`	Causal Information Prioritization for Efficient Reinforcement Learning. CoRR Hongye Cao, Fan Feng, Tianpei Yang, Jing Huo, Yang Gao
2025	J	`jnl`	Efficient Reinforcement Learning with Semantic and Token Entropy for LLM Reasoning. CoRR Hongye Cao, Zhixin Bai, Ziyue Peng, Boyan Wang, Tianpei Yang, Jing Huo, Yuyao Zhang, Yang Gao
2025	A	`conf`	Empowering Generalization for Deep Reinforcement Learning via Symbolic Planning. AAMAS Tianpei Yang, Srijita Das, Christabel Wayllace, Matthew E. Taylor
2025	J	`jnl`	MDTeamGPT: A Self-Evolving LLM-based Multi-Agent Framework for Multi-Disciplinary Team Medical Consultation. CoRR Kai Chen, Xinfeng Li, Tianpei Yang, Hewei Wang, Wei Dong, Yang Gao
2025	J	`jnl`	MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems. CoRR Kai Chen, Taihang Zhen, Hewei Wang, Kailai Liu, Xinfeng Li, Jing Huo, Tianpei Yang, Jinfeng Xu, Wei Dong, Yang Gao
2025	J	`jnl`	Model-Based Offline Reinforcement Learning with Adversarial Data Augmentation. CoRR Hongye Cao, Fan Feng, Jing Huo, Shangdong Yang, Meng Fang, Tianpei Yang, Yang Gao
2025	J	`jnl`	Multi-Agent Reinforcement Learning with Communication-Constrained Priors. CoRR Guang Yang, Tianpei Yang, Jingwen Qiao, Yanqing Wu, Jing Huo, Xingguo Chen, Yang Gao
2025	A*	`conf`	Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games. ICML Linjian Meng, Wubing Chen, Wenbin Li, Tianpei Yang, Youzhi Zhang, Yang Gao
2025	J	`jnl`	SafeDialBench: A Fine-Grained Safety Benchmark for Large Language Models in Multi-Turn Dialogues with Diverse Jailbreak Attacks. CoRR Hongye Cao, Yanming Wang, Sijia Jing, Ziyue Peng, Zhixin Bai, Zhe Cao, Meng Fang, Fan Feng, Boyan Wang, Jiaheng Liu, Tianpei Yang, Jing Huo, Yang Gao, Fanyu Meng, Xi Yang, Chao Deng, Junlan Feng
2025	A	`conf`	Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction. AAMAS Taher Jafferjee, Juliusz Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni
2025	A*	`conf`	The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning. IJCAI Sheila Schoepp, Masoud Jafaripour, Yingyue Cao, Tianpei Yang, Fatemeh Abdollahi, Shadan Golestan, Zahin Sufiyan, Osmar R. Zaïane, Matthew E. Taylor
2025	J	`jnl`	The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning. CoRR Sheila Schoepp, Masoud Jafaripour, Yingyue Cao, Tianpei Yang, Fatemeh Abdollahi, Shadan Golestan, Zahin Sufiyan, Osmar R. Zaïane, Matthew E. Taylor
2025	J	`jnl`	Towards Empowerment Gain through Causal Structure Learning in Model-Based RL. CoRR Hongye Cao, Fan Feng, Meng Fang, Shaokang Dong, Tianpei Yang, Jing Huo, Yang Gao
2025	A*	`conf`	Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning. ICLR Hongye Cao, Fan Feng, Meng Fang, Shaokang Dong, Tianpei Yang, Jing Huo, Yang Gao
2024	A*	`conf`	A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning. AAAI Tianpei Yang, Heng You, Jianye Hao, Yan Zheng, Matthew E. Taylor
2024	J	`jnl`	A survey on interpretable reinforcement learning. Mach. Learn. Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu
2024	J	`jnl`	Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain. IEEE Trans. Neural Networks Learn. Syst. Jianye Hao, Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Zhaopeng Meng, Peng Liu, Zhen Wang
2024	J	`jnl`	FPGA Divide-and-Conquer Placement using Deep Reinforcement Learning. CoRR Shang Wang, Deepak Ranganatha Sastry Mamillapalli, Tianpei Yang, Matthew E. Taylor
2024	J	`jnl`	Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities. J. Artif. Intell. Res. Carl Orge Retzlaff, Srijita Das, Christabel Wayllace, Payam Mousavi, Mohammad Afshari, Tianpei Yang, Anna Saranti, Alessa Angerschmid, Matthew E. Taylor, Andreas Holzinger
2024	J	`jnl`	LaFFi: Leveraging Hybrid Natural Language Feedback for Fine-tuning Language Models. CoRR Qianxi Li, Yingyue Cao, Jikun Kang, Tianpei Yang, Xi Chen, Jun Jin, Matthew E. Taylor
2024	A	`conf`	Mastering Robot Control through Point-based Reinforcement Learning with Pre-training. AAMAS Yihong Chen, Cong Wang, Tianpei Yang, Meng Wang, Yingfeng Chen, Jifei Zhou, Chaoyi Zhao, Xinfeng Zhang, Zeng Zhao, Changjie Fan, Zhipeng Hu, Rong Xiong, Long Zeng
2024	A	`conf`	PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning. AAMAS Hao Zhang, Tianpei Yang, Yan Zheng, Jianye Hao, Matthew E. Taylor
2024	A*	`conf`	PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. AAAI Jizhou Wu, Jianye Hao, Tianpei Yang, Xiaotian Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor
2023	J	`jnl`	ASN: action semantics network for multiagent reinforcement learning. Auton. Agents Multi Agent Syst. Tianpei Yang, Weixun Wang, Jianye Hao, Matthew E. Taylor, Yong Liu, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Chunxu Ren, Ye Huang, Jiangcheng Zhu, Yang Gao
2023	A*	`conf`	Learning to Shape Rewards Using a Game of Two Partners. AAAI David Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Wenbin Song, Feifei Tong, Matthew E. Taylor, Tianpei Yang, Zipeng Dai, Hui Chen, Jiangcheng Zhu, Kun Shao, Jun Wang, Yaodong Yang
2023	A	`conf`	PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. AAMAS Jizhou Wu, Tianpei Yang, Xiaotian Hao, Jianye Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor
2023	B	`conf`	T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler. IJCNN YuanQiang Yu, Tianpei Yang, Yongliang Lv, Yan Zheng, Jianye Hao
2023	A	`conf`	Transfer Learning based Agent for Automated Negotiation. AAMAS Siqi Chen, Qisong Sun, Heng You, Tianpei Yang, Jianye Hao
2023	—	`conf`	Transfer Reinforcement Learning Based Negotiating Agent Framework. PAKDD (2) Siqi Chen, Tianpei Yang, Heng You, Jianing Zhao, Jianye Hao, Gerhard Weiss
2022	J	`jnl`	Advertising Impression Resource Allocation Strategy with Multi-Level Budget Constraint DQN in Real-Time Bidding. Neurocomputing Chengwei Zhang, Kangjie Zheng, Yu Tian, Wanli Xue, Tianpei Yang, Dou An, Yongqi Pi, Rong Chen
2022	A	`conf`	Cross-domain adaptive transfer reinforcement learning based on state-action correspondence. UAI Heng You, Tianpei Yang, Yan Zheng, Jianye Hao, Matthew E. Taylor
2022	—	`conf`	Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator. DAI Yining Li, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang
2022	A*	`conf`	GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis. NeurIPS Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu
2022	J	`jnl`	GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis. CoRR Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu
2022	J	`jnl`	Neighborhood Cooperative Multiagent Reinforcement Learning for Adaptive Traffic Signal Control in Epidemic Regions. IEEE Trans. Intell. Transp. Syst. Chengwei Zhang, Yu Tian, Zhibin Zhang, Wanli Xue, Xiaofei Xie, Tianpei Yang, Xin Ge, Rong Chen
2022	J	`jnl`	NeurIPS 2022 Competition: Driving SMARTS. CoRR Amir Rasouli, Randy Goebel, Matthew E. Taylor, Iuliia Kotseruba, Soheil Alizadeh, Tianpei Yang, Montgomery Alban, Florian Shkurti, Yuzheng Zhuang, Adam Scibior, Kasra Rezaee, Animesh Garg, David Meger, Jun Luo, Liam Paull, Weinan Zhang, Xinyu Wang, Xi Chen
2022	A*	`conf`	PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. ICML Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang
2022	J	`jnl`	PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. CoRR Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Zhen Wang
2022	J	`jnl`	Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training. CoRR Taher Jafferjee, Juliusz Krysztof Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni
2021	J	`jnl`	A Survey on Interpretable Reinforcement Learning. CoRR Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu
2021	A*	`conf`	An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning. NeurIPS Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang
2021	—	`conf`	Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome. NeurIPS (Competition and Demos) Amir Rasouli, Soheil Alizadeh, Iuliia Kotseruba, Yi Ma, Hebin Liang, Yuan Tian, Zhiyu Huang, Haochen Liu, Jingda Wu, Randy Goebel, Tianpei Yang, Matthew E. Taylor, Liam Paull, Xi Chen
2021	J	`jnl`	ED2: An Environment Dynamics Decomposition Framework for World Model Construction. CoRR Cong Wang, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang, Fazl Barez, Jinyi Liu, Jiajie Peng, Haiyin Piao, Zhixiao Sun
2021	J	`jnl`	Efficient policy detecting and reusing for non-stationarity in Markov games. Auton. Agents Multi Agent Syst. Yan Zheng, Jianye Hao, Zongzhang Zhang, Zhaopeng Meng, Tianpei Yang, Yanran Li, Changjie Fan
2021	J	`jnl`	Exploration in Deep Reinforcement Learning: A Comprehensive Survey. CoRR Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Jianye Hao, Zhaopeng Meng, Peng Liu
2021	J	`jnl`	Towards quantitative and intuitive percutaneous tumor puncture via augmented virtual reality. Comput. Medical Imaging Graph. Ruotong Li, Yuqi Tong, Tianpei Yang, Jianxi Guo, Weixin Si, Yanfang Zhang, Reinhard Klein, Pheng-Ann Heng
2020	A*	`conf`	Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. ICLR Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2020	A	`conf`	Efficient Deep Reinforcement Learning through Policy Transfer. AAMAS Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Zhaodong Wang, Jiajie Peng
2020	J	`jnl`	Efficient Deep Reinforcement Learning through Policy Transfer. CoRR Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Weixun Wang, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhaodong Wang, Jiajie Peng
2020	A*	`conf`	Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. IJCAI Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng
2020	A*	`conf`	From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning. AAAI Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2020	A	`conf`	Interactive RL via Online Human Demonstrations. AAMAS Chao Yu, Tianpei Yang, Wenxuan Zhu, Yinzhao Dong, Guangliang Li
2020	J	`jnl`	Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework. CoRR Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Wulong Liu, Yujing Hu, Yingfeng Chen
2020	A*	`conf`	Virtually-Extended Proprioception: Providing Spatial Reference in VR through an Appended Virtual Limb. CHI Yang Tian, Yuming Bai, Shengdong Zhao, Chi-Wing Fu, Tianpei Yang, Pheng-Ann Heng
2019	J	`jnl`	Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. CoRR Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2019	—	`conf`	Augmented Reality Guided Respiratory Liver Tumors Punctures: A Preliminary Feasibility Study. SIGGRAPH Asia Technical Briefs Ruotong Li, Tianpei Yang, Weixin Si, Xiangyun Liao, Qiong Wang, Reinhard Klein, Pheng-Ann Heng
2019	A	`conf`	Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents. AAMAS Tianpei Yang, Jianye Hao, Zhaopeng Meng, Yan Zheng, Chongjie Zhang, Ze Zheng
2019	J	`jnl`	From Few to More: Large-scale Dynamic Multiagent Curriculum Learning. CoRR Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2019	A*	`conf`	Towards Efficient Detection and Optimal Response against Sophisticated Opponents. IJCAI Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng, Ze Zheng
2018	A*	`conf`	A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents. NeurIPS Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang, Tianpei Yang, Changjie Fan
2018	B	`conf`	Achieving Multiagent Coordination Through CALA-rFMQ Learning in Continuous Action Space. PRICAI Wanshu Liu, Chengwei Zhang, Tianpei Yang, Jianye Hao, Xiaohong Li, Zhijie Bao
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	J	`jnl`	Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents. CoRR Tianpei Yang, Zhaopeng Meng, Jianye Hao, Chongjie Zhang, Yan Zheng
2018	J	`jnl`	Hierarchical Heuristic Learning towards Effcient Norm Emergence. CoRR Tianpei Yang, Jianye Hao, Zhaopeng Meng, Sandip Sen, Sheng Jin
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
2016	A	`conf`	Accelerating Norm Emergence Through Hierarchical Heuristic Learning. ECAI Tianpei Yang, Zhaopeng Meng, Jianye Hao, Sandip Sen, Chao Yu