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ORCIDYudi Zhang 0006
Person information
- affiliation: Eindhoven University of Technology, The Netherlands
- affiliation (former): Shandong University, School of Control Science and Engineering, China
Other persons with the same name
- Yudi Zhang — disambiguation page
- Yudi Zhang 0001
![[0000-0002-7830-5133]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7830-5133")
— University of Wollongong, NSW, Australia (and 1 more) - Yudi Zhang 0002 — Jilin Jianzhu University, Changchun, China
- Yudi Zhang 0003 — Nanjing Normal University, Key Laboratory of Virtual Geographic Environment, China
- Yudi Zhang 0004 — University of Bristol, School of Management, UK
- Yudi Zhang 0005 — Shenzhen University, College of Computer Science and Software Engineering, China
- Yudi Zhang 0008 — Harbin Institute of Technology, China
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2020 – today
- 2025
[j2]Ziyan Wang, Yali Du, Yudi Zhang, Meng Fang, Biwei Huang:
MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment. Trans. Mach. Learn. Res. 2025 (2025)- [j1]Lu Wang, Fangkai Yang, Chaoyun Zhang, Junting Lu, Jiaxu Qian, Shilin He, Pu Zhao, Bo Qiao, He Huang, Si Qin, Qisheng Su, Jiayi Ye, Yudi Zhang, Jian-Guang Lou, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Large Action Models: From Inception to Implementation. Trans. Mach. Learn. Res. 2025 (2025) - [c7]Olivier Schipper, Yudi Zhang, Yali Du, Mykola Pechenizkiy, Meng Fang:
PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments. CoG 2025: 1-15 - [c6]Shunfeng Zheng, Yudi Zhang, Meng Fang, Zihan Zhang, Zhitan Wu, Mykola Pechenizkiy, Ling Chen:
Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving. EMNLP (Findings) 2025: 21927-21956 - [c5]Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
RuAG: Learned-rule-augmented Generation for Large Language Models. ICLR 2025 - [i10]Yudi Zhang, Lu Wang, Meng Fang, Yali Du, Chenghua Huang, Jun Wang, Qingwei Lin, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
Distill Not Only Data but Also Rewards: Can Smaller Language Models Surpass Larger Ones? CoRR abs/2502.19557 (2025) - [i9]Olivier Schipper, Yudi Zhang, Yali Du, Mykola Pechenizkiy, Meng Fang:
PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments. CoRR abs/2509.06235 (2025) - [i8]Shunfeng Zheng, Yudi Zhang, Meng Fang, Zihan Zhang, Zhitan Wu, Mykola Pechenizkiy, Ling Chen:
Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving. CoRR abs/2510.00919 (2025) - [i7]Hao Liang, Shuqing Shi, Yudi Zhang, Biwei Huang, Yali Du:
Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems. CoRR abs/2510.21427 (2025) - 2024
- [c4]Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang:
Large Language Models Are Neurosymbolic Reasoners. AAAI 2024: 17985-17993 - [i6]Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang:
Large Language Models Are Neurosymbolic Reasoners. CoRR abs/2401.09334 (2024) - [i5]Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
RuAG: Learned-rule-augmented Generation for Large Language Models. CoRR abs/2411.03349 (2024) - [i4]Lu Wang, Fangkai Yang, Chaoyun Zhang, Junting Lu, Jiaxu Qian, Shilin He, Pu Zhao, Bo Qiao, Ray Huang, Si Qin, Qisheng Su, Jiayi Ye, Yudi Zhang, Jian-Guang Lou, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Large Action Models: From Inception to Implementation. CoRR abs/2412.10047 (2024) - 2023
- [c3]Fangwei Zhong, Xiao Bi, Yudi Zhang, Wei Zhang, Yizhou Wang:
RSPT: Reconstruct Surroundings and Predict Trajectory for Generalizable Active Object Tracking. AAAI 2023: 3705-3714 - [c2]Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy:
Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach. NeurIPS 2023 - [c1]Tristan Tomilin, Meng Fang, Yudi Zhang, Mykola Pechenizkiy:
COOM: A Game Benchmark for Continual Reinforcement Learning. NeurIPS 2023 - [i3]Fangwei Zhong, Xiao Bi, Yudi Zhang, Wei Zhang, Yizhou Wang:
RSPT: Reconstruct Surroundings and Predict Trajectories for Generalizable Active Object Tracking. CoRR abs/2304.03623 (2023) - [i2]Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy:
GRD: A Generative Approach for Interpretable Reward Redistribution in Reinforcement Learning. CoRR abs/2305.18427 (2023) - [i1]Ziyan Wang, Yali Du, Yudi Zhang, Meng Fang, Biwei Huang:
MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment. CoRR abs/2312.03644 (2023)
Coauthor Index
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