Yingzhuo Liu

According to our database, Yingzhuo Liu authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

Simulation-Free PSRO: Removing Game Simulation from Policy Space Response Oracles.

Yingzhuo Liu, Shuodi Liu, Weijun Luo, Liuyu Xiang, Zhaofeng He

CoRR, January, 2026

RainbowArena: A multi-agent toolkit for reinforcement learning and large language models in tabletop games.

Yingzhuo Liu, Shuodi Liu, Hongsong Tang, Yubing Ma, Zikang Li, Junge Zhang, Liuyu Xiang, Zhaofeng He

Knowl. Based Syst., 2026

Knowledge-guided policy arbitration: A hierarchical cognitive framework for safety-critical decision-making under dynamic conflicting objectives.

Fuqing Bie, Xingyang Chang, Leyan Wang, Dehua Ma, Songfu Xu, Shuodi Liu, Yingzhuo Liu, Liuyu Xiang, Zhaofeng He

Expert Syst. Appl., 2026

A reinforcement learning-based approach for offline and online multi-line bus scheduling problem.

Yingzhuo Liu, Weijun Luo, Shuodi Liu, Liuyu Xiang, Xiaotian Zhuang, Guobin Wu, Zhaofeng He

Appl. Soft Comput., 2026

2025

ASPSO: an adaptive acceleration coefficient particle swarm optimization algorithm with sigmoid inertia weight.

Shaohui Ren, Tao Sun, Qingrui Yu, Jun Wang, Yingzhuo Liu, Wenhui Huang

Clust. Comput., November, 2025

Distributed Policy Space Response Oracles in Two-Player Zero-Sum Games.

Hongsong Tang, Yingzhuo Liu, Letian Ni, Liuyu Xiang, Yaodong Yang, Ke Bi, Zhaofeng He

IEEE Trans. Neural Networks Learn. Syst., June, 2025

Efficient Parallel Design for Self-Play in Two-Player Zero-Sum Games.

Hongsong Tang, Bo Chen, Yingzhuo Liu, Kuoye Han, Jingqian Liu, Zhaowei Qu

Symmetry, 2025

RainbowArena: A Multi-Agent Toolkit for Reinforcement Learning and Large Language Models in Competitive Tabletop Games.

Yingzhuo Liu, Shuodi Liu, Hongsong Tang, Yubing Ma, Zikang Li, Junge Zhang, Liuyu Xiang, Zhaofeng He

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Select-Then-Decompose: From Empirical Analysis to Adaptive Selection Strategy for Task Decomposition in Large Language Models.

Shuodi Liu, Yingzhuo Liu, Zi Wang, Yusheng Wang, Huijia Wu, Liuyu Xiang, Zhaofeng He

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

RL-MSA: a Reinforcement Learning-based Multi-line bus Scheduling Approach.

Yingzhuo Liu

CoRR, 2024

2023

A reinforcement learning-based approach for online bus scheduling.

Yingzhuo Liu, Xingquan Zuo, Guanqun Ai, Yahong Liu

Knowl. Based Syst., 2023