Youpeng Zhao

According to our database, Youpeng Zhao authored at least 17 papers between 2022 and 2025.

Collaborative distances:

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

2025

Mini Honor of Kings: A Lightweight Environment for Multiagent Reinforcement Learning.

Lin Liu, Jian Zhao, Cheng Hu, Zhengtao Cao, Youpeng Zhao, Zhenbin Ye, Meng Meng, Wenjun Wang, Zhaofeng He, Houqiang Li, Xia Lin, Lanxiao Huang

IEEE Trans. Games, September, 2025

CuDA2: An Approach for Incorporating Traitor Agents Into Cooperative Multiagent Systems.

Zhen Chen, Yong Liao, Youpeng Zhao, Zipeng Dai, Jian Zhao

IEEE Trans. Games, June, 2025

Generalizable Agent Modeling for Agent Collaboration-Competition Adaptation with Multi-Retrieval and Dynamic Generation.

Chenxu Wang, Yonggang Jin, Cheng Hu, Youpeng Zhao, Zipeng Dai, Jian Zhao, Shiyu Huang, Liuyu Xiang, Junge Zhang, Zhaofeng He

CoRR, June, 2025

Generalizable agent modeling for agent collaboration-competition adaptation with multi-retrieval and dynamic generation.

Chenxu Wang, Yonggang Jin, Cheng Hu, Youpeng Zhao, Zipeng Dai, Jian Zhao, Liuyu Xiang, Junge Zhang, Zhaofeng He

Neurocomputing, 2025

CraftFactory: A Conditioned Control Policy Benchmark for Compositional Generalization.

Jinbing Hou, Youpeng Zhao, Jian Zhao

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

DanZero+: Dominating the GuanDan Game Through Reinforcement Learning.

Youpeng Zhao, Yudong Lu, Jian Zhao, Wengang Zhou, Houqiang Li

IEEE Trans. Games, December, 2024

Full DouZero+: Improving DouDizhu AI by Opponent Modeling, Coach-Guided Training and Bidding Learning.

Youpeng Zhao, Jian Zhao, Xunhan Hu, Wengang Zhou, Houqiang Li

IEEE Trans. Games, September, 2024

MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement Learning.

Jian Zhao, Mingyu Yang, Youpeng Zhao, Xunhan Hu, Wengang Zhou, Houqiang Li

IEEE Trans. Games, September, 2024

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement.

Junjie Lin, Jian Zhao, Lin Liu, Yue Deng, Youpeng Zhao, Lanxiao Huang, Xia Lin, Wengang Zhou, Houqiang Li

CoRR, 2024

CuDA2: An approach for Incorporating Traitor Agents into Cooperative Multi-Agent Systems.

Zhen Chen, Yong Liao, Youpeng Zhao, Zipeng Dai, Jian Zhao

CoRR, 2024

Mini Honor of Kings: A Lightweight Environment for Multi-Agent Reinforcement Learning.

Lin Liu, Jian Zhao, Cheng Hu, Zhengtao Cao, Youpeng Zhao, Zhenbin Ye, Meng Meng, Wenjun Wang, Zhaofeng He, Houqiang Li, Xia Lin, Lanxiao Huang

CoRR, 2024

2023

Improving Deep Reinforcement Learning With Mirror Loss.

Jian Zhao, Weide Shu, Youpeng Zhao, Wengang Zhou, Houqiang Li

IEEE Trans. Games, September, 2023

Multi-Agent First Order Constrained Optimization in Policy Space.

Youpeng Zhao, Yaodong Yang, Zhenbo Lu, Wengang Zhou, Houqiang Li

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

Q-SAT: Value Factorization with Self-Attention for Deep Multi-Agent Reinforcement Learning.

Xunhan Hu, Jian Zhao, Youpeng Zhao, Wengang Zhou, Houqiang Li

Proceedings of the International Joint Conference on Neural Networks, 2023

DanZero: Mastering GuanDan Game with Reinforcement Learning.

Yudong Lu, Jian Zhao, Youpeng Zhao, Wengang Zhou, Houqiang Li

Proceedings of the IEEE Conference on Games, 2023

2022

Coach-assisted multi-agent reinforcement learning framework for unexpected crashed agents.

Jian Zhao, Youpeng Zhao, Weixun Wang, Mingyu Yang, Xunhan Hu, Wengang Zhou, Jianye Hao, Houqiang Li

Frontiers Inf. Technol. Electron. Eng., 2022

DouZero+: Improving DouDizhu AI by Opponent Modeling and Coach-guided Learning.

Youpeng Zhao, Jian Zhao, Xunhan Hu, Wengang Zhou, Houqiang Li

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022