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Xinrun Wang
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2020 – today
- 2024
- [j2]Weihao Tan
, Wentao Zhang
TWOSOME: An Efficient Online Framework to Align LLMs with Embodied Environments via Reinforcement Learning. Int. J. Artif. Intell. Robotics Res. 1(2): 2450004:1-2450004:21 (2024) - [c35]Molei Qin
EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading. AAAI 2024: 14669-14676 - [c34]Haochong Xia, Shuo Sun, Xinrun Wang, Bo An:
Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context. AAAI 2024: 15996-16004 - [c33]Pengdeng Li, Runsheng Yu, Xinrun Wang, Bo An:
Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games. AAAI 2024: 17469-17476 - [c32]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: 1147-1155 - [c31]Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An:
Reinforcement Nash Equilibrium Solver. AAMAS 2024: 2552-2554 - [c30]Shanqi Liu, Dong Xing, Pengjie Gu, Xinrun Wang, Bo An, Yong Liu:
Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution. ICLR 2024 - [c29]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 - [c28]Longtao Zheng, Rundong Wang, Xinrun Wang, Bo An:
Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control. ICLR 2024 - [c27]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. ICML 2024 - [c26]Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Xiao Huang, Hau Chan, Bo An:
Self-adaptive PSRO: Towards an Automatic Population-based Game Solver. IJCAI 2024: 139-147 - [c25]Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An:
Reinforcement Nash Equilibrium Solver. IJCAI 2024: 265-273 - [c24]Wentao Zhang
A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist. KDD 2024: 4314-4325 - [c23]Chuqiao Zong
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading. KDD 2024: 4712-4721 - [c22]Wentao Zhang
Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools. WWW 2024: 187-198 - [i28]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 abs/2401.00426 (2024) - [i27]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 abs/2401.14151 (2024) - [i26]Wentao Zhang, Lingxuan Zhao, Haochong Xia, Shuo Sun, Jiaze Sun, Molei Qin, Xinyi Li, Yuqing Zhao
A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist. CoRR abs/2402.18485 (2024) - [i25]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
Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study. CoRR abs/2403.03186 (2024) - [i24]Longtao Zheng, Zhiyuan Huang, Zhenghai Xue, Xinrun Wang, Bo An, Shuicheng Yan:
AgentStudio: A Toolkit for Building General Virtual Agents. CoRR abs/2403.17918 (2024) - [i23]Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Xiao Huang
Self-adaptive PSRO: Towards an Automatic Population-based Game Solver. CoRR abs/2404.11144 (2024) - [i22]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 abs/2404.12626 (2024) - [i21]Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang
Reinforcement Nash Equilibrium Solver. CoRR abs/2405.03518 (2024) - [i20]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 abs/2405.11746 (2024) - [i19]Chuqiao Zong, Chaojie Wang, Molei Qin, Lei Feng, Xinrun Wang, Bo An:
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading. CoRR abs/2406.14537 (2024) - [i18]Shuxin Li, Chang Yang, Youzhi Zhang, Pengdeng Li, Xinrun Wang, Xiao Huang, Hau Chan, Bo An:
In-Context Exploiter for Extensive-Form Games. CoRR abs/2408.05575 (2024) - [i17]Yewen Li, Chaojie Wang, Xiaobo Xia, Xu He, Ruyi An, Dong Li, Tongliang Liu, Bo An, Xinrun Wang:
Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection. CoRR abs/2409.03801 (2024) - [i16]Aye Phyu Phyu Aung, Xinrun Wang, Ruiyu Wang, Hau Chan, Bo An, Xiaoli Li, J. Senthilnath:
Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models. CoRR abs/2410.04764 (2024) - 2023
- [j1]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) - [c21]Shuxin Li, Xinrun Wang, Youzhi Zhang, Wanqi Xue, Jakub Cerný, Bo An:
Solving Large-Scale Pursuit-Evasion Games Using Pre-trained Strategies. AAAI 2023: 11586-11594 - [c20]Pengdeng Li, Xinrun Wang, Shuxin Li, Hau Chan, Bo An:
Population-size-Aware Policy Optimization for Mean-Field Games. ICLR 2023 - [c19]Runsheng Yu, Weiyu Chen, Xinrun Wang, James T. Kwok:
Enhancing Meta Learning via Multi-Objective Soft Improvement Functions. ICLR 2023 - [c18]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: 38272-38285 - [c17]Shuo Sun
Mastering Stock Markets with Efficient Mixture of Diversified Trading Experts. KDD 2023: 2109-2119 - [c16]Pengjie Gu, Xinyu Cai, Dong Xing, Xinrun Wang, Mengchen Zhao, Bo An:
Offline RL with Discrete Proxy Representations for Generalizability in POMDPs. NeurIPS 2023 - [c15]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 - [i15]Shuo Sun, Molei Qin, Xinrun Wang, Bo An:
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets. CoRR abs/2302.00586 (2023) - [i14]Pengdeng Li, Xinrun Wang, Shuxin Li, Hau Chan, Bo An:
Population-size-Aware Policy Optimization for Mean-Field Games. CoRR abs/2302.03364 (2023) - [i13]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 abs/2306.10944 (2023) - [i12]Haochong Xia, Shuo Sun, Xinrun Wang, Bo An:
Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context. CoRR abs/2309.07708 (2023) - [i11]Wentao Zhang, Yilei Zhao, Shuo Sun, Jie Ying, Yonggang Xie
Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools. CoRR abs/2311.10801 (2023) - 2022
- [c14]Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. CVPR 2022: 11265-11274 - [i10]Xinrun Wang, Jakub Cerný, Shuxin Li, Chang Yang, Zhuyun Yin, Hau Chan, Bo An:
A Unified Perspective on Deep Equilibrium Finding. CoRR abs/2204.04930 (2022) - [i9]Shuxin Li, Xinrun Wang, Jakub Cerný, Youzhi Zhang, Hau Chan, Bo An:
Offline Equilibrium Finding. CoRR abs/2207.05285 (2022) - [i8]Chang Yang, Ruiyu Wang, Xinrun Wang, Zhen Wang:
A Game-Theoretic Perspective of Generalization in Reinforcement Learning. CoRR abs/2208.03650 (2022) - 2021
- [c13]Yanchen Deng, Runsheng Yu, Xinrun Wang, Bo An:
Neural Regret-Matching for Distributed Constraint Optimization Problems. IJCAI 2021: 146-153 - [c12]Shuxin Li, Youzhi Zhang, Xinrun Wang, Wanqi Xue, Bo An:
CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space. IJCAI 2021: 3663-3669 - [c11]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: 3713-3720 - [c10]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: 23049-23062 - [i7]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 abs/2102.08159 (2021) - [i6]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 abs/2102.08577 (2021) - [i5]Shuxin Li, Youzhi Zhang, Xinrun Wang, Wanqi Xue, Bo An:
CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space. CoRR abs/2105.08440 (2021) - [i4]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 abs/2106.00897 (2021) - 2020
- [c9]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: 499-507 - [c8]Yoav Ben Yaakov, Joachim Meyer, Xinrun Wang, Bo An:
User detection of threats with different security measures. ICHMS 2020: 1-6 - [c7]Zhenyu Shi, Runsheng Yu, Xinrun Wang, Rundong Wang, Youzhi Zhang
Learning Expensive Coordination: An Event-Based Deep RL Approach. ICLR 2020 - [c6]Xu He
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. RecSys 2020: 210-219 - [i3]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 abs/2008.09369 (2020) - [i2]Xinrun Wang, Tarun Nair
Efficient Reservoir Management through Deep Reinforcement Learning. CoRR abs/2012.03822 (2020)
2010 – 2019
- 2019
- [b1]Xinrun Wang:
Defending on networks: applying game theory to prevent illegal activities in structured security domains. Nanyang Technological University, Singapore, 2019 - [c5]Yoav Ben Yaakov, Xinrun Wang, Joachim Meyer, Bo An:
Choosing Protection: User Investments in Security Measures for Cyber Risk Management. GameSec 2019: 33-44 - [c4]Xinrun Wang, Milind Tambe, Branislav Bosanský, Bo An:
When Players Affect Target Values: Modeling and Solving Dynamic Partially Observable Security Games. GameSec 2019: 542-562 - [c3]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: 6020-6027 - [i1]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 abs/1911.07712 (2019) - 2018
- [c2]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: 208-215 - 2017
- [c1]Xinrun Wang, Qingyu Guo, Bo An:
Stop Nuclear Smuggling Through Efficient Container Inspection. AAMAS 2017: 669-677
Coauthor Index
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last updated on 2024-11-15 19:33 CET by the dblp team
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