Xinrun Wang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 57

Top Topics

Nash Equilibrium

Reinforcement Learning

Security Measures

Top Venues

Publications

Pengdeng Li, Runsheng Yu, Xinrun Wang, Bo An
Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games. AAAI (2024)
Pengdeng Li, Shuxin Li, Xinrun Wang, Jakub Cerný, Youzhi Zhang, Stephen McAleer, Hau Chan, Bo An
Grasper: A Generalist Pursuer for Pursuit-Evasion Problems. CoRR (2024)
Longtao Zheng, Rundong Wang, Xinrun Wang, Bo An
Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control. ICLR (2024)
Chaojie Wang, Yishi Xu, Zhong Peng, Chenxi Zhang, Bo Chen, Xinrun Wang, Lei Feng, Bo An
keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM. CoRR (2024)
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
Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study. CoRR (2024)
Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An
Reinforcement Nash Equilibrium Solver. CoRR (2024)
Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An
True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning. ICLR (2024)
Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Shuyue Hu, Xiao Huang, Hau Chan, Bo An
Configurable Mirror Descent: Towards a Unification of Decision Making. CoRR (2024)
Wentao Zhang, Lingxuan Zhao, Haochong Xia, Shuo Sun, Jiaze Sun, Molei Qin, Xinyi Li, Yuqing Zhao, Yilei Zhao, Xinyu Cai, Longtao Zheng, Xinrun Wang, Bo An
A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist. KDD (2024)
Haochong Xia, Shuo Sun, Xinrun Wang, Bo An
Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context. AAAI (2024)
Longtao Zheng, Zhiyuan Huang, Zhenghai Xue, Xinrun Wang, Bo An, Shuicheng Yan
AgentStudio: A Toolkit for Building General Virtual Agents. CoRR (2024)
Wentao Zhang, Yilei Zhao, Shuo Sun, Jie Ying, Yonggang Xie, Zitao Song, Xinrun Wang, Bo An
Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools. WWW (2024)
Shanqi Liu, Dong Xing, Pengjie Gu, Xinrun Wang, Bo An, Yong Liu
Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution. ICLR (2024)
Chuqiao Zong, Chaojie Wang, Molei Qin, Lei Feng, Xinrun Wang, Bo An
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading. CoRR (2024)
Chuqiao Zong, Chaojie Wang, Molei Qin, Lei Feng, Xinrun Wang, Bo An
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading. KDD (2024)
Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An
True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning. CoRR (2024)
Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An
Reinforcement Nash Equilibrium Solver. AAMAS (2024)
Molei Qin, Shuo Sun, Wentao Zhang, Haochong Xia, Xinrun Wang, Bo An
EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading. AAAI (2024)
Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Xiao Huang, Hau Chan, Bo An
Self-adaptive PSRO: Towards an Automatic Population-based Game Solver. CoRR (2024)
Pengdeng Li, Shuxin Li, Xinrun Wang, Jakub Cerný, Youzhi Zhang, Stephen McAleer, Hau Chan, Bo An
Grasper: A Generalist Pursuer for Pursuit-Evasion Problems. AAMAS (2024)
Wentao Zhang, Lingxuan Zhao, Haochong Xia, Shuo Sun, Jiaze Sun, Molei Qin, Xinyi Li, Yuqing Zhao, Yilei Zhao, Xinyu Cai, Longtao Zheng, Xinrun Wang, Bo An
A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist. CoRR (2024)
Shuo Sun, Molei Qin, Xinrun Wang, Bo An
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets. Trans. Mach. Learn. Res. 2023 (2023)
Pengdeng Li, Xinrun Wang, Shuxin Li, Hau Chan, Bo An
Population-size-Aware Policy Optimization for Mean-Field Games. CoRR (2023)
Pengjie Gu, Xinyu Cai, Dong Xing, Xinrun Wang, Mengchen Zhao, Bo An
Offline RL with Discrete Proxy Representations for Generalizability in POMDPs. NeurIPS (2023)
Runsheng Yu, Weiyu Chen, Xinrun Wang, James Kwok
Enhancing Meta Learning via Multi-Objective Soft Improvement Functions. ICLR (2023)
Shuo Sun, Molei Qin, Xinrun Wang, Bo An
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets. CoRR (2023)
Shuo Sun, Molei Qin, Wentao Zhang, Haochong Xia, Chuqiao Zong, Jie Ying, Yonggang Xie, Lingxuan Zhao, Xinrun Wang, Bo An
TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning. NeurIPS (2023)
Shuxin Li, Xinrun Wang, Youzhi Zhang, Wanqi Xue, Jakub Cerný, Bo An
Solving Large-Scale Pursuit-Evasion Games Using Pre-trained Strategies. AAAI (2023)
Pengdeng Li, Xinrun Wang, Shuxin Li, Hau Chan, Bo An
Population-size-Aware Policy Optimization for Mean-Field Games. ICLR (2023)
Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An, Gang Pan
Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification. CoRR (2023)
Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An, Gang Pan
Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification. ICML (2023)
Shuo Sun, Xinrun Wang, Wanqi Xue, Xiaoxuan Lou, Bo An
Mastering Stock Markets with Efficient Mixture of Diversified Trading Experts. KDD (2023)
Haochong Xia, Shuo Sun, Xinrun Wang, Bo An
Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context. CoRR (2023)
Xinrun Wang, Jakub Cerný, Shuxin Li, Chang Yang, Zhuyun Yin, Hau Chan, Bo An
A Unified Perspective on Deep Equilibrium Finding. CoRR (2022)
Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. CVPR (2022)
Shuxin Li, Xinrun Wang, Jakub Cerný, Youzhi Zhang, Hau Chan, Bo An
Offline Equilibrium Finding. CoRR (2022)
Chang Yang, Ruiyu Wang, Xinrun Wang, Zhen Wang
A Game-Theoretic Perspective of Generalization in Reinforcement Learning. CoRR (2022)
Wei Qiu, Xinrun Wang, Runsheng Yu, Rundong Wang, Xu He, Bo An, Svetlana Obraztsova, Zinovi Rabinovich
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents. NeurIPS (2021)
Wanqi Xue, Youzhi Zhang, Shuxin Li, Xinrun Wang, Bo An, Chai Kiat Yeo
Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play. IJCAI (2021)
Wei Qiu, Xinrun Wang, Runsheng Yu, Xu He, Rundong Wang, Bo An, Svetlana Obraztsova, Zinovi Rabinovich
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents. CoRR (2021)
Wanqi Xue, Youzhi Zhang, Shuxin Li, Xinrun Wang, Bo An, Chai Kiat Yeo
Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play. CoRR (2021)
Shuxin Li, Youzhi Zhang, Xinrun Wang, Wanqi Xue, Bo An
CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space. IJCAI (2021)
Yanchen Deng, Runsheng Yu, Xinrun Wang, Bo An
Neural Regret-Matching for Distributed Constraint Optimization Problems. IJCAI (2021)
Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. CoRR (2021)
Shuxin Li, Youzhi Zhang, Xinrun Wang, Wanqi Xue, Bo An
CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space. CoRR (2021)
Zhenyu Shi, Runsheng Yu, Xinrun Wang, Rundong Wang, Youzhi Zhang, Hanjiang Lai, Bo An
Learning Expensive Coordination: An Event-Based Deep RL Approach. ICLR (2020)
Xinrun Wang, Tarun Nair, Haoyang Li, Yuh Sheng Reuben Wong, Nachiket Kelkar, Srinivas Vaidyanathan, Rajat Nayak, Bo An, Jagdish Krishnaswamy, Milind Tambe
Efficient Reservoir Management through Deep Reinforcement Learning. CoRR (2020)
Yoav Ben Yaakov, Joachim Meyer, Xinrun Wang, Bo An
User detection of threats with different security measures. ICHMS (2020)
Xu He, Bo An, Yanghua Li, Haikai Chen, Rundong Wang, Xinrun Wang, Runsheng Yu, Xin Li, Zhirong Wang
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. RecSys (2020)
Xu He, Bo An, Yanghua Li, Haikai Chen, Rundong Wang, Xinrun Wang, Runsheng Yu, Xin Li, Zhirong Wang
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. CoRR (2020)
Aye Phyu Phyu Aung, Xinrun Wang, Bo An, Xiaoli Li
We Mind Your Well-Being: Preventing Depression in Uncertain Social Networks by Sequential Interventions. ICAPS (2020)
Runsheng Yu, Zhenyu Shi, Xinrun Wang, Rundong Wang, Buhong Liu, Xinwen Hou, Hanjiang Lai, Bo An
Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning. CoRR (2019)
Xinrun Wang, Milind Tambe, Branislav Bosanský, Bo An
When Players Affect Target Values: Modeling and Solving Dynamic Partially Observable Security Games. GameSec (2019)
Xinrun Wang, Bo An, Hau Chan
Who Should Pay the Cost: A Game-theoretic Model for Government Subsidized Investments to Improve National Cybersecurity. IJCAI (2019)
Yoav Ben Yaakov, Xinrun Wang, Joachim Meyer, Bo An
Choosing Protection: User Investments in Security Measures for Cyber Risk Management. GameSec (2019)
Xinrun Wang, Bo An, Martin Strobel, Fookwai Kong
Catching Captain Jack: Efficient Time and Space Dependent Patrols to Combat Oil-Siphoning in International Waters. AAAI (2018)
Xinrun Wang, Qingyu Guo, Bo An
Stop Nuclear Smuggling Through Efficient Container Inspection. AAMAS (2017)