Zelai Xu

According to our database, Zelai Xu authored at least 25 papers between 2022 and 2026.

Collaborative distances:

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

2026

MAGE: Meta-Reinforcement Learning for Language Agents toward Strategic Exploration and Exploitation.

Lu Yang, Zelai Xu, Minyang Xie, Jiaxuan Gao, Zhao Shok, Yu Wang, Yi Wu

CoRR, March, 2026

WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning.

Zelai Xu, Zhexuan Xu, Ruize Zhang, Chunyang Zhu, Shi Yu, Weilin Liu, Quanlu Zhang, Wenbo Ding, Chao Yu, Yu Wang

CoRR, February, 2026

Optimal Design of Magnetic Suspension Linear Synchronous Motor Based on Six Sigma Method.

Yunpeng Sun, Wanning Bai, Zelai Xu, Jiarun Wang, Haoluan Li

IEEE Access, 2026

<i>Earl: </i> Efficient Agentic RL Post-Training for LLMs under Dynamic Context Lengths.

Zheyue Tan, Tuo Shi, Huining Yuan, Zelai Xu, Chao Yu, Boxun Li, Yu Wang, Bo Zhao

Proceedings of the Sixth European Workshop on Machine Learning and Systems, EuroMLSys 2026, 2026

2025

Extending Test-Time Scaling: A 3D Perspective with Context, Batch, and Turn.

Chao Yu, Qixin Tan, Jiaxuan Gao, Shi Yu, Hong Lu, Xinting Yang, Zelai Xu, Yu Wang, Yi Wu, Eugene Vinitsky

CoRR, November, 2025

MARS: Reinforcing Multi-Agent Reasoning of LLMs through Self-Play in Strategic Games.

Huining Yuan, Zelai Xu, Zheyue Tan, Xiangmin Yi, Mo Guang, Kaiwen Long, Haojia Hui, Boxun Li, Xinlei Chen, Bo Zhao, Xiao-Ping Zhang, Chao Yu, Yu Wang

CoRR, October, 2025

EARL: Efficient Agentic Reinforcement Learning Systems for Large Language Models.

Zheyue Tan, Mustapha Abdullahi, Tuo Shi, Huining Yuan, Zelai Xu, Chao Yu, Boxun Li, Bo Zhao

CoRR, October, 2025

Latent Collective Preference Optimization: A General Framework for Robust LLM Alignment.

Xiaoyang Cao, Zelai Xu, Mo Guang, Kaiwen Long, Michiel A. Bakker, Yu Wang, Chao Yu

CoRR, September, 2025

VS-Bench: Evaluating VLMs for Strategic Reasoning and Decision-Making in Multi-Agent Environments.

Zelai Xu, Zhexuan Xu, Xiangmin Yi, Huining Yuan, Xinlei Chen, Yi Wu, Chao Yu, Yu Wang

CoRR, June, 2025

Mastering Multi-Drone Volleyball through Hierarchical Co-Self-Play Reinforcement Learning.

Ruize Zhang, Sirui Xiang, Zelai Xu, Feng Gao, Shilong Ji, Wenhao Tang, Wenbo Ding, Chao Yu, Yu Wang

CoRR, May, 2025

AED: Automatic Discovery of Effective and Diverse Vulnerabilities for Autonomous Driving Policy with Large Language Models.

Le Qiu, Zelai Xu, Qixin Tan, Wenhao Tang, Chao Yu, Yu Wang

CoRR, March, 2025

VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play.

Zelai Xu, Chao Yu, Ruize Zhang, Huining Yuan, Xiangmin Yi, Shilong Ji, Chuqi Wang, Wenhao Tang, Yu Wang

CoRR, February, 2025

Learning Global Nash Equilibrium in Team Competitive Games with Generalized Fictitious Cross-Play.

Zelai Xu, Chao Yu, Yancheng Liang, Yi Wu, Yu Wang

J. Mach. Learn. Res., 2025

Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization.

Zelai Xu, Wanjun Gu, Chao Yu, Yi Wu, Yu Wang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Fixed-time convergence of second-order nonlinear systems based on nonsingular fractional sliding mode.

Cheng Lei, Yipeng Lan, Yunpeng Sun, Zelai Xu, Xiaolei Shi

Trans. Inst. Meas. Control, 2024

Fixed-time disturbance observer-based funnel control for controllable excitation linear synchronous motor with state constraints.

Zelai Xu, Yipeng Lan, Cheng Lei

J. Syst. Control. Eng., 2024

Dual sliding mode control of linear maglev synchronous motor based on novel extended state observer.

Cheng Lei, Yipeng Lan, Zelai Xu, Yunpeng Sun, Jiayu Li

J. Syst. Control. Eng., 2024

A Survey on Self-play Methods in Reinforcement Learning.

Ruize Zhang, Zelai Xu, Chengdong Ma, Chao Yu, Wei-Wei Tu, Shiyu Huang, Deheng Ye, Wenbo Ding, Yaodong Yang, Yu Wang

CoRR, 2024

Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game.

Zelai Xu, Chao Yu, Fei Fang, Yu Wang, Yi Wu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Multi-Agent Vulnerability Discovery for Autonomous Driving Policy by Finding AV-Responsible Scenarios.

Ye Mu, Weilin Liu, Chao Yu, Xuefei Ning, Zhong Cao, Zelai Xu, Shuang Liang, Huazhong Yang, Yu Wang

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning.

Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu

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

2023

Fictitious Cross-Play: Learning Global Nash Equilibrium in Mixed Cooperative-Competitive Games.

Zelai Xu, Yancheng Liang, Chao Yu, Yu Wang, Yi Wu

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

An arbitrary Lagrangian-Eulerian method for simulating interfacial dynamics between a hydrogel and a fluid.

Lei Li, Jiaqi Zhang, Zelai Xu, Yuan-Nan Young, James J. Feng, Pengtao Yue

J. Comput. Phys., 2022

Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning.

Wei Fu, Chao Yu, Zelai Xu, Jiaqi Yang, Yi Wu

Proceedings of the International Conference on Machine Learning, 2022

Texture BERT for Cross-modal Texture Image Retrieval.

Zelai Xu, Tan Yu, Ping Li

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022