Tianpei Yang

According to our database, Tianpei Yang authored at least 46 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain.

Jianye Hao, Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Zhaopeng Meng, Peng Liu, Zhen Wang

IEEE Trans. Neural Networks Learn. Syst., July, 2024

A survey on interpretable reinforcement learning.

Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu

Mach. Learn., July, 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

J. Artif. Intell. Res., 2024

FPGA Divide-and-Conquer Placement using Deep Reinforcement Learning.

Shang Wang, Deepak Ranganatha Sastry Mamillapalli, Tianpei Yang, Matthew E. Taylor

CoRR, 2024

LaFFi: Leveraging Hybrid Natural Language Feedback for Fine-tuning Language Models.

Qianxi Li, Yingyue Cao, Jikun Kang, Tianpei Yang, Xi Chen, Jun Jin, Matthew E. Taylor

CoRR, 2024

PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning.

Hao Zhang, Tianpei Yang, Yan Zheng, Jianye Hao, Matthew E. Taylor

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Mastering Robot Control through Point-based Reinforcement Learning with Pre-training.

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

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning.

Tianpei Yang, Heng You, Jianye Hao, Yan Zheng, Matthew E. Taylor

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning.

Jizhou Wu, Jianye Hao, Tianpei Yang, Xiaotian Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

ASN: action semantics network for multiagent reinforcement learning.

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

Auton. Agents Multi Agent Syst., October, 2023

Transfer Reinforcement Learning Based Negotiating Agent Framework.

Siqi Chen, Tianpei Yang, Heng You, Jianing Zhao, Jianye Hao, Gerhard Weiss

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler.

Yuanqiang Yu, Tianpei Yang, Yongliang Lv, Yan Zheng, Jianye Hao

Proceedings of the International Joint Conference on Neural Networks, 2023

Transfer Learning based Agent for Automated Negotiation.

Siqi Chen, Qisong Sun, Heng You, Tianpei Yang, Jianye Hao

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Neighborhood Cooperative Multiagent Reinforcement Learning for Adaptive Traffic Signal Control in Epidemic Regions.

Chengwei Zhang, Yu Tian, Zhibin Zhang, Wanli Xue, Xiaofei Xie, Tianpei Yang, Xin Ge, Rong Chen

IEEE Trans. Intell. Transp. Syst., 2022

Advertising Impression Resource Allocation Strategy with Multi-Level Budget Constraint DQN in Real-Time Bidding.

Chengwei Zhang, Kangjie Zheng, Yu Tian, Wanli Xue, Tianpei Yang, Dou An, Yongqi Pi, Rong Chen

Neurocomputing, 2022

NeurIPS 2022 Competition: Driving SMARTS.

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

CoRR, 2022

Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training.

Taher Jafferjee, Juliusz Krysztof Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni

CoRR, 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, Zhen Wang

CoRR, 2022

Cross-domain adaptive transfer reinforcement learning based on state-action correspondence.

Heng You, Tianpei Yang, Yan Zheng, Jianye Hao, Matthew E. Taylor

Proceedings of the Uncertainty in Artificial Intelligence, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the International Conference on Machine Learning, 2022

Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator.

Yining Li, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang

Proceedings of the Distributed Artificial Intelligence - 4th International Conference, 2022

2021

ED2: An Environment Dynamics Decomposition Framework for World Model Construction.

Cong Wang, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang, Fazl Barez, Jinyi Liu, Jiajie Peng, Haiyin Piao, Zhixiao Sun

CoRR, 2021

Exploration in Deep Reinforcement Learning: A Comprehensive Survey.

Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Jianye Hao, Zhaopeng Meng, Peng Liu

CoRR, 2021

Towards quantitative and intuitive percutaneous tumor puncture via augmented virtual reality.

Ruotong Li, Yuqi Tong, Tianpei Yang, Jianxi Guo, Weixin Si, Yanfang Zhang, Reinhard Klein, Pheng-Ann Heng

Comput. Medical Imaging Graph., 2021

Efficient policy detecting and reusing for non-stationarity in Markov games.

Yan Zheng, Jianye Hao, Zongzhang Zhang, Zhaopeng Meng, Tianpei Yang, Yanran Li, Changjie Fan

Auton. Agents Multi Agent Syst., 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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome.

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

Proceedings of the NeurIPS 2022 Competition Track, 2021

2020

Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework.

Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Wulong Liu, Yujing Hu, Yingfeng Chen

CoRR, 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

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 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

Proceedings of the 8th International Conference on Learning Representations, 2020

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

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Interactive RL via Online Human Demonstrations.

Chao Yu, Tianpei Yang, Wenxuan Zhu, Yinzhao Dong, Guangliang Li

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Efficient Deep Reinforcement Learning through Policy Transfer.

Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Zhaodong Wang, Jiajie Peng

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

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

Proceedings of the SIGGRAPH Asia 2019 Technical Briefs, 2019

Towards Efficient Detection and Optimal Response against Sophisticated Opponents.

Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng, Ze Zheng

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents.

Tianpei Yang, Jianye Hao, Zhaopeng Meng, Yan Zheng, Chongjie Zhang, Ze Zheng

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Learning Shaping Strategies in Human-in-the-loop Interactive Reinforcement Learning.

Chao Yu, Tianpei Yang, Wenxuan Zhu, Dongxu Wang, Guangliang Li

CoRR, 2018

Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents.

Tianpei Yang, Zhaopeng Meng, Jianye Hao, Chongjie Zhang, Yan Zheng

CoRR, 2018

Hierarchical Heuristic Learning towards Effcient Norm Emergence.

Tianpei Yang, Jianye Hao, Zhaopeng Meng, Sandip Sen, Sheng Jin

CoRR, 2018

Adaptively Shaping Reinforcement Learning Agents via Human Reward.

Chao Yu, Dongxu Wang, Tianpei Yang, Wenxuan Zhu, Yuchen Li, Hongwei Ge, Jiankang Ren

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Achieving Multiagent Coordination Through CALA-rFMQ Learning in Continuous Action Space.

Wanshu Liu, Chengwei Zhang, Tianpei Yang, Jianye Hao, Xiaohong Li, Zhijie Bao

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents.

Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang, Tianpei Yang, Changjie Fan

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

Accelerating Norm Emergence Through Hierarchical Heuristic Learning.

Tianpei Yang, Zhaopeng Meng, Jianye Hao, Sandip Sen, Chao Yu

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016