Tianpei Yang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 52

Top Topics

Learning Agents

Reinforcement Learning

Top Venues

Publications

Jianye Hao, Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Zhaopeng Meng, Peng Liu, Zhen Wang
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Shang Wang, Deepak Ranganatha Sastry Mamillapalli, Tianpei Yang, Matthew E. Taylor
FPGA Divide-and-Conquer Placement using Deep Reinforcement Learning. CoRR (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
Mastering Robot Control through Point-based Reinforcement Learning with Pre-training. AAMAS (2024)
Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu
A survey on interpretable reinforcement learning. Mach. Learn. 113 (8) (2024)
Tianpei Yang, Heng You, Jianye Hao, Yan Zheng, Matthew E. Taylor
A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning. AAAI (2024)
Carl Orge Retzlaff, Srijita Das, Christabel Wayllace, Payam Mousavi, Mohammad Afshari, Tianpei Yang, Anna Saranti, Alessa Angerschmid, Matthew E. Taylor, Andreas Holzinger
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities. J. Artif. Intell. Res. 79 (2024)
Jizhou Wu, Jianye Hao, Tianpei Yang, Xiaotian Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. AAAI (2024)
Qianxi Li, Yingyue Cao, Jikun Kang, Tianpei Yang, Xi Chen, Jun Jin, Matthew E. Taylor
LaFFi: Leveraging Hybrid Natural Language Feedback for Fine-tuning Language Models. CoRR (2024)
Hao Zhang, Tianpei Yang, Yan Zheng, Jianye Hao, Matthew E. Taylor
PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning. AAMAS (2024)
Siqi Chen, Qisong Sun, Heng You, Tianpei Yang, Jianye Hao
Transfer Learning based Agent for Automated Negotiation. AAMAS (2023)
Yuanqiang Yu, Tianpei Yang, Yongliang Lv, Yan Zheng, Jianye Hao
T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler. IJCNN (2023)
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
ASN: action semantics network for multiagent reinforcement learning. Auton. Agents Multi Agent Syst. 37 (2) (2023)
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
Learning to Shape Rewards Using a Game of Two Partners. AAAI (2023)
Siqi Chen, Tianpei Yang, Heng You, Jianing Zhao, Jianye Hao, Gerhard Weiss
Transfer Reinforcement Learning Based Negotiating Agent Framework. PAKDD (2) (2023)
Jizhou Wu, Tianpei Yang, Xiaotian Hao, Jianye Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. AAMAS (2023)
Chengwei Zhang, Yu Tian, Zhibin Zhang, Wanli Xue, Xiaofei Xie, Tianpei Yang, Xin Ge, Rong Chen
Neighborhood Cooperative Multiagent Reinforcement Learning for Adaptive Traffic Signal Control in Epidemic Regions. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis. CoRR (2022)
Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis. NeurIPS (2022)
Heng You, Tianpei Yang, Yan Zheng, Jianye Hao, Matthew E. Taylor
Cross-domain adaptive transfer reinforcement learning based on state-action correspondence. UAI (2022)
Taher Jafferjee, Juliusz Krysztof Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni
Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training. CoRR (2022)
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
NeurIPS 2022 Competition: Driving SMARTS. CoRR (2022)
Chengwei Zhang, Kangjie Zheng, Yu Tian, Wanli Xue, Tianpei Yang, Dou An, Yongqi Pi, Rong Chen
Advertising Impression Resource Allocation Strategy with Multi-Level Budget Constraint DQN in Real-Time Bidding. Neurocomputing 488 (2022)
Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. ICML (2022)
Yining Li, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang
Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator. DAI (2022)
Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Zhen Wang
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. CoRR (2022)
Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu
A Survey on Interpretable Reinforcement Learning. CoRR (2021)
Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Jianye Hao, Zhaopeng Meng, Peng Liu
Exploration in Deep Reinforcement Learning: A Comprehensive Survey. CoRR (2021)
Ruotong Li, Yuqi Tong, Tianpei Yang, Jianxi Guo, Weixin Si, Yanfang Zhang, Reinhard Klein, Pheng-Ann Heng
Towards quantitative and intuitive percutaneous tumor puncture via augmented virtual reality. Comput. Medical Imaging Graph. 90 (2021)
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
Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome. NeurIPS (Competition and Demos) (2021)
Yan Zheng, Jianye Hao, Zongzhang Zhang, Zhaopeng Meng, Tianpei Yang, Yanran Li, Changjie Fan
Efficient policy detecting and reusing for non-stationarity in Markov games. Auton. Agents Multi Agent Syst. 35 (1) (2021)
Cong Wang, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang, Fazl Barez, Jinyi Liu, Jiajie Peng, Haiyin Piao, Zhixiao Sun
ED2: An Environment Dynamics Decomposition Framework for World Model Construction. CoRR (2021)
Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning. NeurIPS (2021)
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning. AAAI (2020)
Yang Tian, Yuming Bai, Shengdong Zhao, Chi-Wing Fu, Tianpei Yang, Pheng-Ann Heng
Virtually-Extended Proprioception: Providing Spatial Reference in VR through an Appended Virtual Limb. CHI (2020)
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. ICLR (2020)
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Weixun Wang, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhaodong Wang, Jiajie Peng
Efficient Deep Reinforcement Learning through Policy Transfer. CoRR (2020)
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. IJCAI (2020)
Chao Yu, Tianpei Yang, Wenxuan Zhu, Yinzhao Dong, Guangliang Li
Interactive RL via Online Human Demonstrations. AAMAS (2020)
Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Wulong Liu, Yujing Hu, Yingfeng Chen
Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework. CoRR (2020)
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Zhaodong Wang, Jiajie Peng
Efficient Deep Reinforcement Learning through Policy Transfer. AAMAS (2020)
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning. CoRR (2019)
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Yan Zheng, Chongjie Zhang, Ze Zheng
Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents. AAMAS (2019)
Ruotong Li, Tianpei Yang, Weixin Si, Xiangyun Liao, Qiong Wang, Reinhard Klein, Pheng-Ann Heng
Augmented Reality Guided Respiratory Liver Tumors Punctures: A Preliminary Feasibility Study. SIGGRAPH Asia Technical Briefs (2019)
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng, Ze Zheng
Towards Efficient Detection and Optimal Response against Sophisticated Opponents. IJCAI (2019)
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. CoRR (2019)
Chao Yu, Dongxu Wang, Tianpei Yang, Wenxuan Zhu, Yuchen Li, Hongwei Ge, Jiankang Ren
Adaptively Shaping Reinforcement Learning Agents via Human Reward. PRICAI (1) (2018)
Chao Yu, Tianpei Yang, Wenxuan Zhu, Dongxu Wang, Guangliang Li
Learning Shaping Strategies in Human-in-the-loop Interactive Reinforcement Learning. CoRR (2018)
Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang, Tianpei Yang, Changjie Fan
A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents. NeurIPS (2018)
Wanshu Liu, Chengwei Zhang, Tianpei Yang, Jianye Hao, Xiaohong Li, Zhijie Bao
Achieving Multiagent Coordination Through CALA-rFMQ Learning in Continuous Action Space. PRICAI (2018)
Tianpei Yang, Zhaopeng Meng, Jianye Hao, Chongjie Zhang, Yan Zheng
Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents. CoRR (2018)
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Sandip Sen, Sheng Jin
Hierarchical Heuristic Learning towards Effcient Norm Emergence. CoRR (2018)
Tianpei Yang, Zhaopeng Meng, Jianye Hao, Sandip Sen, Chao Yu
Accelerating Norm Emergence Through Hierarchical Heuristic Learning. ECAI (2016)