Tianpei Yang

16 papers at tracked venues · 11 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-5497-7146 ↗

Venues

AAAI ×4 AAMAS ×4 ACL ×2 ICLR ×2 NeurIPS ×2 ICML ×1 IJCAI ×1

Frequent coauthors

Yang Gao

×9

Jing Huo

×6

Matthew E. Taylor

×6

Linjian Meng

×4

Hongye Cao

×3

Fan Feng

×3

Youzhi Zhang

×3

Jianye Hao

×3

Yan Zheng

×3

Meng Fang

×2

Zhenxing Ge

×2

Guang Yang

×2

Papers

Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning
AAAI 2026 ·
Hongye Cao
, Tianpei Yang,
Fan Feng
,
Hammadi Rafik Ouariachi
,
Yali Du
,
Meng Fang
,
Jing Huo
,
Yang Gao
Faster Game Solving via Asymmetry of Step Sizes
AAAI 2026 ·
Linjian Meng
, Tianpei Yang,
Youzhi Zhang
,
Zhenxing Ge
,
Yang Gao
MDTeamGPT: Mitigating Context Collapse and Enabling Self-Evolution in Medical Multi-Agent Reasoning
ACL 2026 ·
Kai Chen
,
Xinfeng Li
, Tianpei Yang,
Hewei Wang
,
Guang Yang
,
Jing Huo
,
Yang Gao
Thinking-Based Non-Thinking: Solving the Reward Hacking Problem in Training Hybrid Reasoning Models via Reinforcement Learning
ACL 2026 ·
Siyuan Gan
,
Jiaheng Liu
,
Boyan Wang
, Tianpei Yang,
Runqing Miao
,
Yuyao Zhang
,
Fanyu Meng
,
Junlan Feng
,
Linjian Meng
,
Jing Huo
,
Yang Gao
Causal Information Prioritization for Efficient Reinforcement Learning
ICLR 2025 ·
Hongye Cao
,
Fan Feng
, Tianpei Yang,
Jing Huo
,
Yang Gao
Efficient Last-Iterate Convergence in Solving Extensive-Form Games
NeurIPS 2025 ·
Linjian Meng
, Tianpei Yang,
Youzhi Zhang
,
Zhenxing Ge
,
Shangdong Yang
,
Tianyu Ding
,
Wenbin Li
,
Bo An
,
Yang Gao
Empowering Generalization for Deep Reinforcement Learning via Symbolic Planning
AAMAS 2025 · Tianpei Yang,
Srijita Das
,
Christabel Wayllace
,
Matthew E. Taylor
Multi-Agent Reinforcement Learning with Communication-Constrained Priors
NeurIPS 2025 ·
Guang Yang
, Tianpei Yang,
Jingwen Qiao
,
Yanqing Wu
,
Jing Huo
,
Xingguo Chen
,
Yang Gao
Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games
ICML 2025 ·
Linjian Meng
,
Wubing Chen
,
Wenbin Li
, Tianpei Yang,
Youzhi Zhang
,
Yang Gao
Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction
AAMAS 2025 ·
Taher Jafferjee
,
Juliusz Ziomek
, Tianpei Yang,
Zipeng Dai
,
Jianhong Wang
,
Matthew E. Taylor
,
Kun Shao
,
Jun Wang
,
David Mguni
The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning
IJCAI 2025 ·
Sheila Schoepp
,
Masoud Jafaripour
,
Yingyue Cao
, Tianpei Yang,
Fatemeh Abdollahi
,
Shadan Golestan
,
Zahin Sufiyan
,
Osmar R. Zaïane
,
Matthew E. Taylor
Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning
ICLR 2025 ·
Hongye Cao
,
Fan Feng
,
Meng Fang
,
Shaokang Dong
, Tianpei Yang,
Jing Huo
,
Yang Gao
A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning
AAAI 2024 · Tianpei Yang,
Heng You
,
Jianye Hao
,
Yan Zheng
,
Matthew E. Taylor
Mastering Robot Control through Point-based Reinforcement Learning with Pre-training
AAMAS 2024 ·
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
PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning
AAMAS 2024 ·
Hao Zhang
, Tianpei Yang,
Yan Zheng
,
Jianye Hao
,
Matthew E. Taylor
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning
AAAI 2024 ·
Jizhou Wu
,
Jianye Hao
, Tianpei Yang,
Xiaotian Hao
,
Yan Zheng
,
Weixun Wang
,
Matthew E. Taylor