Tianpei Yang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
12
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning. | Hongye Cao, Tianpei Yang, Fan Feng, Hammadi Rafik Ouariachi, Yali Du, Meng Fang, Jing Huo, Yang Gao |
| 2026 | AAAI | Faster Game Solving via Asymmetry of Step Sizes. | Linjian Meng, Tianpei Yang, Youzhi Zhang, Zhenxing Ge, Yang Gao |
| 2026 | ACL | MDTeamGPT: Mitigating Context Collapse and Enabling Self-Evolution in Medical Multi-Agent Reasoning. | Kai Chen, Xinfeng Li, Tianpei Yang, Hewei Wang, Guang Yang, Jing Huo, Yang Gao |
| 2026 | ACL | Thinking-Based Non-Thinking: Solving the Reward Hacking Problem in Training Hybrid Reasoning Models via Reinforcement Learning. | Siyuan Gan, Jiaheng Liu, Boyan Wang, Tianpei Yang, Runqing Miao, Yuyao Zhang, Fanyu Meng, Junlan Feng, Linjian Meng, Jing Huo, Yang Gao |
| 2025 | ICLR | Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning. | Hongye Cao, Fan Feng, Meng Fang, Shaokang Dong, Tianpei Yang, Jing Huo, Yang Gao |
| 2025 | ICLR | Causal Information Prioritization for Efficient Reinforcement Learning. | Hongye Cao, Fan Feng, Tianpei Yang, Jing Huo, Yang Gao |
| 2025 | ICML | Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games. | Linjian Meng, Wubing Chen, Wenbin Li, Tianpei Yang, Youzhi Zhang, Yang Gao |
| 2025 | IJCAI | The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning. | Sheila Schoepp, Masoud Jafaripour, Yingyue Cao, Tianpei Yang, Fatemeh Abdollahi, Shadan Golestan, Zahin Sufiyan, Osmar R. Zaane, Matthew E. Taylor |
| 2024 | AAAI | PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. | Jizhou Wu, Jianye Hao, Tianpei Yang, Xiaotian Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor |
| 2024 | AAAI | A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning. | Tianpei Yang, Heng You, Jianye Hao, Yan Zheng, Matthew E. Taylor |
| 2023 | AAAI | Learning to Shape Rewards Using a Game of Two Partners. | 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 | IJCNN | T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler. | Yuanqiang Yu, Tianpei Yang, Yongliang Lv, Yan Zheng, Jianye Hao |
| 2023 | PAKDD | Transfer Reinforcement Learning Based Negotiating Agent Framework. | Siqi Chen, Tianpei Yang, Heng You, Jianing Zhao, Jianye Hao, Gerhard Weiss |
| 2022 | ICML | PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. | Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang |
| 2022 | UAI | Cross-domain adaptive transfer reinforcement learning based on state-action correspondence. | Heng You, Tianpei Yang, Yan Zheng, Jianye Hao, Matthew E. Taylor |
| 2020 | AAAI | From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning. | Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao |
| 2020 | CHI | Virtually-Extended Proprioception: Providing Spatial Reference in VR through an Appended Virtual Limb. | Yang Tian, Yuming Bai, Shengdong Zhao, Chi-Wing Fu, Tianpei Yang, Pheng-Ann Heng |
| 2020 | ICLR | Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. | Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao |
| 2020 | IJCAI | Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. | Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng |
| 2019 | IJCAI | Towards Efficient Detection and Optimal Response against Sophisticated Opponents. | Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng, Ze Zheng |
| 2019 | SiggraphA | Augmented Reality Guided Respiratory Liver Tumors Punctures: A Preliminary Feasibility Study. | Ruotong Li, Tianpei Yang, Weixin Si, Xiangyun Liao, Qiong Wang, Reinhard Klein, Pheng-Ann Heng |
| 2018 | PRICAI | Achieving Multiagent Coordination Through CALA-rFMQ Learning in Continuous Action Space. | Wanshu Liu, Chengwei Zhang, Tianpei Yang, Jianye Hao, Xiaohong Li, Zhijie Bao |
| 2018 | PRICAI | Adaptively Shaping Reinforcement Learning Agents via Human Reward. | Chao Yu, Dongxu Wang, Tianpei Yang, Wenxuan Zhu, Yuchen Li, Hongwei Ge, Jiankang Ren |
| 2016 | ECAI | Accelerating Norm Emergence Through Hierarchical Heuristic Learning. | Tianpei Yang, Zhaopeng Meng, Jianye Hao, Sandip Sen, Chao Yu |