Yudi Zhang

According to our database, Yudi Zhang authored at least 12 papers between 2023 and 2025.

Collaborative distances:

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

2025

Distill Not Only Data but Also Rewards: Can Smaller Language Models Surpass Larger Ones?

Yudi Zhang, Lu Wang, Meng Fang, Yali Du, Chenghua Huang, Jun Wang, Qingwei Lin, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

CoRR, February, 2025

Large Action Models: From Inception to Implementation.

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

Trans. Mach. Learn. Res., 2025

MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment.

Ziyan Wang, Yali Du, Yudi Zhang, Meng Fang, Biwei Huang

Trans. Mach. Learn. Res., 2025

RuAG: Learned-rule-augmented Generation for Large Language Models.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments.

Olivier Schipper, Yudi Zhang, Yali Du, Mykola Pechenizkiy, Meng Fang

Proceedings of the IEEE Conference on Games, 2025

2024

Large Action Models: From Inception to Implementation.

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

CoRR, 2024

Large Language Models Are Neurosymbolic Reasoners.

Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang

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

2023

GRD: A Generative Approach for Interpretable Reward Redistribution in Reinforcement Learning.

Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy

CoRR, 2023

RSPT: Reconstruct Surroundings and Predict Trajectories for Generalizable Active Object Tracking.

Fangwei Zhong, Xiao Bi, Yudi Zhang, Wei Zhang, Yizhou Wang

CoRR, 2023

COOM: A Game Benchmark for Continual Reinforcement Learning.

Tristan Tomilin, Meng Fang, Yudi Zhang, Mykola Pechenizkiy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach.

Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RSPT: Reconstruct Surroundings and Predict Trajectory for Generalizable Active Object Tracking.

Fangwei Zhong, Xiao Bi, Yudi Zhang, Wei Zhang, Yizhou Wang

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