Accelerating Norm Emergence Through Hierarchical Heuristic Learning. - Tianpei Yang; Zhaopeng Meng; Jianye Hao; Sandip Sen; Chao Yu 004 (ECAI, 2016)

A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents. - Yan Zheng 002; Zhaopeng Meng; Jianye Hao; Zongzhang Zhang; Tianpei Yang; Changjie Fan (NeurIPS, 2018)

Achieving Multiagent Coordination Through CALA-rFMQ Learning in Continuous Action Space. - Wanshu Liu; Chengwei Zhang 001; Tianpei Yang; Jianye Hao; Xiaohong Li 001; Zhijie Bao (PRICAI, 2018)

Adaptively Shaping Reinforcement Learning Agents via Human Reward. - Chao Yu 004; Dongxu Wang; Tianpei Yang; Wenxuan Zhu; Yuchen Li 006; Hongwei Ge; Jiankang Ren (PRICAI (1), 2018)

Hierarchical Heuristic Learning towards Effcient Norm Emergence. - Tianpei Yang; Jianye Hao; Zhaopeng Meng; Sandip Sen; Sheng Jin (CoRR, 2018)

Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents. - Tianpei Yang; Zhaopeng Meng; Jianye Hao; Chongjie Zhang; Yan Zheng 002 (CoRR, 2018)

Learning Shaping Strategies in Human-in-the-loop Interactive Reinforcement Learning. - Chao Yu 004; Tianpei Yang; Wenxuan Zhu; Dongxu Wang; Guangliang Li (CoRR, 2018)

Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents. - Tianpei Yang; Jianye Hao; Zhaopeng Meng; Yan Zheng 002; Chongjie Zhang; Ze Zheng (AAMAS, 2019)

Towards Efficient Detection and Optimal Response against Sophisticated Opponents. - Tianpei Yang; Jianye Hao; Zhaopeng Meng; Chongjie Zhang; Yan Zheng 002; Ze Zheng (IJCAI, 2019)

Augmented Reality Guided Respiratory Liver Tumors Punctures: A Preliminary Feasibility Study. - Ruotong Li; Tianpei Yang; Weixin Si; Xiangyun Liao; Qiong Wang 001; Reinhard Klein; Pheng-Ann Heng (SIGGRAPH Asia Technical Briefs, 2019)

From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning. - Weixun Wang; Tianpei Yang; Yong Liu 007; Jianye Hao; Xiaotian Hao; Yujing Hu; Yingfeng Chen; Changjie Fan; Yang Gao 001 (AAAI, 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 (AAMAS, 2020)

Interactive RL via Online Human Demonstrations. - Chao Yu 004; Tianpei Yang; Wenxuan Zhu; Yinzhao Dong; Guangliang Li (AAMAS, 2020)

Virtually-Extended Proprioception: Providing Spatial Reference in VR through an Appended Virtual Limb. - Yang Tian; Yuming Bai; Shengdong Zhao 001; Chi-Wing Fu; Tianpei Yang; Pheng-Ann Heng (CHI, 2020)

Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. - Weixun Wang; Tianpei Yang; Yong Liu 007; Jianye Hao; Xiaotian Hao; Yujing Hu; Yingfeng Chen; Changjie Fan; Yang Gao 001 (ICLR, 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 (IJCAI, 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)

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; et al. (NeurIPS (Competition and Demos), 2021)

An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning. - Tianpei Yang; Weixun Wang; Hongyao Tang; Jianye Hao; Zhaopeng Meng; Hangyu Mao; Dong Li 016; Wulong Liu; Yingfeng Chen; Yujing Hu; Changjie Fan; Chengwei Zhang 001 (NeurIPS, 2021)

Efficient policy detecting and reusing for non-stationarity in Markov games. - Yan Zheng 002; Jianye Hao; Zongzhang Zhang; Zhaopeng Meng; Tianpei Yang; Yanran Li; Changjie Fan (Auton. Agents Multi Agent Syst., 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)

Exploration in Deep Reinforcement Learning: A Comprehensive Survey. - Tianpei Yang; Hongyao Tang; Chenjia Bai; Jinyi Liu 002; Jianye Hao; Zhaopeng Meng; Peng Liu 008 (CoRR, 2021)

ED2: An Environment Dynamics Decomposition Framework for World Model Construction. - Cong Wang; Tianpei Yang; Jianye Hao; Yan Zheng 002; Hongyao Tang; Fazl Barez; Jinyi Liu 002; Jiajie Peng; Haiyin Piao; Zhixiao Sun (CoRR, 2021)

Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator. - Yining Li; Tianpei Yang; Jianye Hao; Yan Zheng 002; Hongyao Tang (DAI, 2022)

PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. - Pengyi Li 001; Hongyao Tang; Tianpei Yang; Xiaotian Hao; Tong Sang; Yan Zheng 002; Jianye Hao; Matthew E. Taylor; Wenyuan Tao; Zhen Wang 004 (ICML, 2022)

GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis. - Yushi Cao; Zhiming Li; Tianpei Yang; Hao Zhang 004; Yan Zheng 002; Yi Li 008; Jianye Hao; Yang Liu 003 (NeurIPS, 2022)

Cross-domain adaptive transfer reinforcement learning based on state-action correspondence. - Heng You; Tianpei Yang; Yan Zheng 002; Jianye Hao; Matthew E. Taylor (UAI, 2022)

PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. - Pengyi Li 001; Hongyao Tang; Tianpei Yang; Xiaotian Hao; Tong Sang; Yan Zheng 002; Jianye Hao; Matthew E. Taylor; Zhen Wang 004 (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 012; David Mguni (CoRR, 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; et al. (CoRR, 2022)

Advertising Impression Resource Allocation Strategy with Multi-Level Budget Constraint DQN in Real-Time Bidding. - Chengwei Zhang 001; Kangjie Zheng; Yu Tian; Wanli Xue; Tianpei Yang; Dou An; Yongqi Pi; Rong Chen 003 (Neurocomputing, 2022)

Neighborhood Cooperative Multiagent Reinforcement Learning for Adaptive Traffic Signal Control in Epidemic Regions. - Chengwei Zhang 001; Yu Tian; Zhibin Zhang; Wanli Xue; Xiaofei Xie; Tianpei Yang; Xin Ge; Rong Chen 003 (IEEE Trans. Intell. Transp. Syst., 2022)

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; et al. (AAAI, 2023)

Transfer Learning based Agent for Automated Negotiation. - Siqi Chen 001; Qisong Sun; Heng You; Tianpei Yang; Jianye Hao (AAMAS, 2023)

T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler. - Yuanqiang Yu; Tianpei Yang; Yongliang Lv; Yan Zheng 002; Jianye Hao (IJCNN, 2023)

Transfer Reinforcement Learning Based Negotiating Agent Framework. - Siqi Chen 001; Tianpei Yang; Heng You; Jianing Zhao; Jianye Hao; Gerhard Weiss 001 (PAKDD (2), 2023)

ASN: action semantics network for multiagent reinforcement learning. - Tianpei Yang; Weixun Wang; Jianye Hao; Matthew E. Taylor; Yong Liu 007; Xiaotian Hao; Yujing Hu; Yingfeng Chen; Changjie Fan; Chunxu Ren; Ye Huang; Jiangcheng Zhu; et al. (Auton. Agents Multi Agent Syst., 2023)

PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. - Jizhou Wu; Jianye Hao; Tianpei Yang; Xiaotian Hao; Yan Zheng 002; Weixun Wang; Matthew E. Taylor (AAAI, 2024)

A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning. - Tianpei Yang; Heng You; Jianye Hao; Yan Zheng 002; Matthew E. Taylor (AAAI, 2024)

Mastering Robot Control through Point-based Reinforcement Learning with Pre-training. - Yihong Chen; Cong Wang; Tianpei Yang; Meng Wang 016; Yingfeng Chen; Jifei Zhou; Chaoyi Zhao; Xinfeng Zhang; Zeng Zhao; Changjie Fan; Zhipeng Hu; Rong Xiong; et al. (AAMAS, 2024)

PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning. - Hao Zhang 004; Tianpei Yang; Yan Zheng 002; Jianye Hao; Matthew E. Taylor (AAMAS, 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)

FPGA Divide-and-Conquer Placement using Deep Reinforcement Learning. - Shang Wang; Deepak Ranganatha Sastry Mamillapalli; Tianpei Yang; Matthew E. Taylor (CoRR, 2024)

Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities. - Carl Orge Retzlaff; Srijita Das 001; Christabel Wayllace; Payam Mousavi; Mohammad Afshari; Tianpei Yang; Anna Saranti; Alessa Angerschmid; Matthew E. Taylor; Andreas Holzinger (J. Artif. Intell. Res., 2024)

A survey on interpretable reinforcement learning. - Claire Glanois; Paul Weng; Matthieu Zimmer; Dong Li 016; Tianpei Yang; Jianye Hao; Wulong Liu (Mach. Learn., 2024)

Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain. - Jianye Hao; Tianpei Yang; Hongyao Tang; Chenjia Bai; Jinyi Liu 002; Zhaopeng Meng; Peng Liu 008; Zhen Wang 004 (IEEE Trans. Neural Networks Learn. Syst., 2024)

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 001 (ICLR, 2025)

Causal Information Prioritization for Efficient Reinforcement Learning. - Hongye Cao; Fan Feng; Tianpei Yang; Jing Huo; Yang Gao 001 (ICLR, 2025)

Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction. - Taher Jafferjee; Juliusz Ziomek; Tianpei Yang; Zipeng Dai; Jianhong Wang; Matthew E. Taylor; Kun Shao; Jun Wang 012; David Mguni (AAMAS, 2025)

Empowering Generalization for Deep Reinforcement Learning via Symbolic Planning. - Tianpei Yang; Srijita Das 001; Christabel Wayllace; Matthew E. Taylor (AAMAS, 2025)

Towards Empowerment Gain through Causal Structure Learning in Model-Based RL. - Hongye Cao; Fan Feng; Meng Fang; Shaokang Dong; Tianpei Yang; Jing Huo; Yang Gao 001 (CoRR, 2025)

SafeDialBench: A Fine-Grained Safety Benchmark for Large Language Models in Multi-Turn Dialogues with Diverse Jailbreak Attacks. - Hongye Cao; Yanming Wang; Sijia Jing; Ziyue Peng; Zhixin Bai; Zhe Cao; Meng Fang; Fan Feng; Boyan Wang; Jiaheng Liu; Tianpei Yang; Jing Huo; et al. (CoRR, 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 (CoRR, 2025)

Asynchronous Predictive Counterfactual Regret Minimization+ Algorithm in Solving Extensive-Form Games. - Linjian Meng; Youzhi Zhang 001; Zhenxing Ge; Tianpei Yang; Yang Gao 001 (CoRR, 2025)

MDTeamGPT: A Self-Evolving LLM-based Multi-Agent Framework for Multi-Disciplinary Team Medical Consultation. - Kai Chen 026; Xinfeng Li; Tianpei Yang; Hewei Wang 001; Wei Dong; Yang Gao 001 (CoRR, 2025)

Model-Based Offline Reinforcement Learning with Adversarial Data Augmentation. - Hongye Cao; Fan Feng; Jing Huo; Shangdong Yang; Meng Fang; Tianpei Yang; Yang Gao 001 (CoRR, 2025)

MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems. - Kai Chen 026; Taihang Zhen; Hewei Wang 001; Kailai Liu; Xinfeng Li; Jing Huo; Tianpei Yang; Jinfeng Xu 003; Wei Dong; Yang Gao 001 (CoRR, 2025)