Wang, Xinrun

32 publications

TMLR 2026 Nondeterministic Polynomial-Time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs Chang Yang, Ruiyu Wang, Junzhe Jiang, Qi Jiang, Qinggang Zhang, Yanchen Deng, Shuxin Li, Shuyue Hu, Bo Li, Florian T. Pokorny, Xiao Huang, Xinrun Wang

ICLR 2025 AgentStudio: A Toolkit for Building General Virtual Agents Longtao Zheng, Zhiyuan Huang, Zhenghai Xue, Xinrun Wang, Bo An, Shuicheng Yan

ICML 2025 Cradle: Empowering Foundation Agents Towards General Computer Control Weihao Tan, Wentao Zhang, Xinrun Xu, Haochong Xia, Ziluo Ding, Boyu Li, Bohan Zhou, Junpeng Yue, Jiechuan Jiang, Yewen Li, Ruyi An, Molei Qin, Chuqiao Zong, Longtao Zheng, Yujie Wu, Xiaoqiang Chai, Yifei Bi, Tianbao Xie, Pengjie Gu, Xiyun Li, Ceyao Zhang, Long Tian, Chaojie Wang, Xinrun Wang, Börje F. Karlsson, Bo An, Shuicheng Yan, Zongqing Lu

NeurIPSW 2024 AgentStudio: A Toolkit for Building General Virtual Agents Longtao Zheng, Zhiyuan Huang, Zhenghai Xue, Xinrun Wang, Bo An, Shuicheng Yan

ICML 2024 Configurable Mirror Descent: Towards a Unification of Decision Making Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Shuyue Hu, Xiao Huang, Hau Chan, Bo An

NeurIPSW 2024 Cradle: Empowering Foundation Agents Towards General Computer Control Weihao Tan, Wentao Zhang, Xinrun Xu, Haochong Xia, Gang Ding, Boyu Li, Bohan Zhou, Junpeng Yue, Jiechuan Jiang, Yewen Li, Ruyi An, Molei Qin, Chuqiao Zong, Longtao Zheng, YuJie Wu, Xiaoqiang Chai, Yifei Bi, Tianbao Xie, Pengjie Gu, Xiyun Li, Ceyao Zhang, Long Tian, Chaojie Wang, Xinrun Wang, Börje F. Karlsson, Bo An, Shuicheng Yan, Zongqing Lu

AAAI 2024 EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading Molei Qin, Shuo Sun, Wentao Zhang, Haochong Xia, Xinrun Wang, Bo An

AAAI 2024 Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context Haochong Xia, Shuo Sun, Xinrun Wang, Bo An

IJCAI 2024 Reinforcement Nash Equilibrium Solver Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An

IJCAI 2024 Self-Adaptive PSRO: Towards an Automatic Population-Based Game Solver Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Xiao Huang, Hau Chan, Bo An

ICLR 2024 Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution Shanqi Liu, Dong Xing, Pengjie Gu, Xinrun Wang, Bo An, Yong Liu

ICLR 2024 Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control Longtao Zheng, Rundong Wang, Xinrun Wang, Bo An

ICLRW 2024 Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study Weihao Tan, Ziluo Ding, Wentao Zhang, Boyu Li, Bohan Zhou, Junpeng Yue, Haochong Xia, Jiechuan Jiang, Longtao Zheng, Xinrun Xu, Yifei Bi, Pengjie Gu, Xinrun Wang, Börje F. Karlsson, Bo An, Zongqing Lu

AAAI 2024 Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games Pengdeng Li, Runsheng Yu, Xinrun Wang, Bo An

ICLR 2024 True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An

ICML 2023 Controlling Type Confounding in Ad Hoc Teamwork with Instance-Wise Teammate Feedback Rectification Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An, Gang Pan

ICLR 2023 Enhancing Meta Learning via Multi-Objective Soft Improvement Functions Runsheng Yu, Weiyu Chen, Xinrun Wang, James Kwok

NeurIPS 2023 Offline RL with Discrete Proxy Representations for Generalizability in POMDPs Pengjie Gu, Xinyu Cai, Dong Xing, Xinrun Wang, Mengchen Zhao, Bo An

TMLR 2023 PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets Shuo Sun, Molei Qin, Xinrun Wang, Bo An

ICLR 2023 Population-Size-Aware Policy Optimization for Mean-Field Games Pengdeng Li, Xinrun Wang, Shuxin Li, Hau Chan, Bo An

AAAI 2023 Solving Large-Scale Pursuit-Evasion Games Using Pre-Trained Strategies Shuxin Li, Xinrun Wang, Youzhi Zhang, Wanqi Xue, Jakub Cerný, Bo An

NeurIPSW 2023 Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control Longtao Zheng, Rundong Wang, Xinrun Wang, Bo An

NeurIPS 2023 TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning Shuo Sun, Molei Qin, Wentao Zhang, Haochong Xia, Chuqiao Zong, Jie Ying, Yonggang Xie, Lingxuan Zhao, Xinrun Wang, Bo An

NeurIPSW 2022 A Game-Theoretic Perspective of Generalization in Reinforcement Learning Chang Yang, Ruiyu Wang, Xinrun Wang, Zhen Wang

CVPR 2022 DO-GAN: A Double Oracle Framework for Generative Adversarial Networks Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li

IJCAI 2021 CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space Shuxin Li, Youzhi Zhang, Xinrun Wang, Wanqi Xue, Bo An

IJCAI 2021 Neural Regret-Matching for Distributed Constraint Optimization Problems Yanchen Deng, Runsheng Yu, Xinrun Wang, Bo An

NeurIPS 2021 RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents Wei Qiu, Xinrun Wang, Runsheng Yu, Rundong Wang, Xu He, Bo An, Svetlana Obraztsova, Zinovi Rabinovich

IJCAI 2021 Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play Wanqi Xue, Youzhi Zhang, Shuxin Li, Xinrun Wang, Bo An, Chai Kiat Yeo

ICLR 2020 Learning Expensive Coordination: An Event-Based Deep RL Approach Zhenyu Shi, Runsheng Yu, Xinrun Wang, Rundong Wang, Youzhi Zhang, Hanjiang Lai, Bo An

IJCAI 2019 Who Should Pay the Cost: A Game-Theoretic Model for Government Subsidized Investments to Improve National Cybersecurity Xinrun Wang, Bo An, Hau Chan

AAAI 2018 Catching Captain Jack: Efficient Time and Space Dependent Patrols to Combat Oil-Siphoning in International Waters Xinrun Wang, Bo An, Martin Strobel, Fookwai Kong