Yang, Tianpei

24 publications

ICLR 2026 SafeDialBench: A Fine-Grained Safety Evaluation Benchmark for Large Language Models in Multi-Turn Dialogues with Diverse Jailbreak Attacks Hongye Cao, Sijia Jing, Yanming Wang, Ziyue Peng, Zhixin Bai, Zhe Cao, Meng Fang, Fan Feng, Jiaheng Liu, Boyan Wang, Tianpei Yang, Jing Huo, Yang Gao, Fanyu Meng, Xi Yang, Chao Deng, Junlan Feng

ICLR 2025 Causal Information Prioritization for Efficient Reinforcement Learning Hongye Cao, Fan Feng, Tianpei Yang, Jing Huo, Yang Gao

NeurIPS 2025 Efficient Last-Iterate Convergence in Solving Extensive-Form Games Linjian Meng, Tianpei Yang, Youzhi Zhang, Zhenxing Ge, Shangdong Yang, Tianyu Ding, Wenbin Li, Bo An, Yang Gao

NeurIPS 2025 Multi-Agent Reinforcement Learning with Communication-Constrained Priors Guang Yang, Tianpei Yang, Jingwen Qiao, Yanqing Wu, Jing Huo, Xingguo Chen, Yang Gao

ICML 2025 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

IJCAI 2025 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. Zaïane, Matthew E. Taylor

ICLR 2025 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

MLJ 2024 A Survey on Interpretable Reinforcement Learning Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu

AAAI 2024 A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning Tianpei Yang, Heng You, Jianye Hao, Yan Zheng, Matthew E. Taylor

ICMLW 2024 CPeSFA: Empowering SFs for Policy Learning and Transfer in Continuous Action Spaces Yining Li, Tianpei Yang, Wei Guo, Jianye Hao, Yan Zheng

JAIR 2024 Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities Carl Orge Retzlaff, Srijita Das, Christabel Wayllace, Payam Mousavi, Mohammad Afshari, Tianpei Yang, Anna Saranti, Alessa Angerschmid, Matthew E. Taylor, Andreas Holzinger

AAAI 2024 PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning Jizhou Wu, Jianye Hao, Tianpei Yang, Xiaotian Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor

AAAI 2023 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

NeurIPSW 2023 PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning Hao Zhang, Tianpei Yang, Yan Zheng, Jianye Hao, Matthew E. Taylor

NeurIPSW 2023 Work-in-Progress: Using Symbolic Planning with Deep RL to Improve Learning Tianpei Yang, Srijita Das, Christabel Wayllace, Matthew Taylor

UAI 2022 Cross-Domain Adaptive Transfer Reinforcement Learning Based on State-Action Correspondence Heng You, Tianpei Yang, Yan Zheng, Jianye Hao, E. Taylor

NeurIPS 2022 GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu

ICML 2022 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

NeurIPS 2021 An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang

ICLR 2020 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

IJCAI 2020 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

AAAI 2020 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

IJCAI 2019 Towards Efficient Detection and Optimal Response Against Sophisticated Opponents Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng, Ze Zheng

NeurIPS 2018 A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang, Tianpei Yang, Changjie Fan