Bo An

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 287

Top Venues

Publications

Zitao Song, Chao Yang, Chaojie Wang, Bo An, Shuang Li
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs. CoRR (2024)
Pengdeng Li, Runsheng Yu, Xinrun Wang, Bo An
Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games. AAAI (2024)
Senlin Shu, Haobo Wang, Zhuowei Wang, Bo Han, Tao Xiang, Bo An, Lei Feng
Online binary classification from similar and dissimilar data. Mach. Learn. 113 (6) (2024)
Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng
Consistent Multi-Class Classification from Multiple Unlabeled Datasets. ICLR (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)
Ruhao Jiang, Yanchen Deng, Yingying Chen, He Luo, Bo An
Deep reinforcement learning for multi-objective game strategy selection. Comput. Oper. Res. 168 (2024)
Longtao Zheng, Rundong Wang, Xinrun Wang, Bo An
Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control. ICLR (2024)
Lang Feng, Pengjie Gu, Bo An, Gang Pan
Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree. CoRR (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)
Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An
Mitigating Underfitting in Learning to Defer with Consistent Losses. AISTATS (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)
Shengjie Zhou, Lue Tao, Yuzhou Cao, Tao Xiang, Bo An, Lei Feng
On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks. ICLR (2024)
Wanyuan Wang, Qian Che, Yifeng Zhou, Weiwei Wu, Bo An, Yichuan Jiang
Offline policy reuse-guided anytime online collective multiagent planning and its application to mobility-on-demand systems. Auton. Agents Multi Agent Syst. 38 (1) (2024)
Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko, Jianfeng Zhang, Bo An
Characterising Gradients for Unsupervised Accuracy Estimation under Distribution Shift. CoRR (2024)
Yuzhou Cao, Lei Feng, Bo An
Consistent Hierarchical Classification with A Generalized Metric. AISTATS (2024)
Shifei Ding, Wei Du, Ling Ding, Jian Zhang, Lili Guo, Bo An
Robust Multi-Agent Communication With Graph Information Bottleneck Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (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)
Shaokang Dong, Chao Li, Shangdong Yang, Bo An, Wenbin Li, Yang Gao
Egoism, utilitarianism and egalitarianism in multi-agent reinforcement learning. Neural Networks 178 (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)
Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement. CoRR (2024)
Molei Qin, Shuo Sun, Wentao Zhang, Haochong Xia, Xinrun Wang, Bo An
EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading. AAAI (2024)
Jiaqi Lv, Biao Liu, Lei Feng, Ning Xu, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama
On the Robustness of Average Losses for Partial-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. ICLR (2024)
Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan
vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms. AAMAS (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)
Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang, Bo An
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts. CoRR (2024)
Chaojie Wang, Yanchen Deng, Zhiyi Lv, Zeng Liang, Jujie He, Shuicheng Yan, Bo An
Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning. CoRR (2024)
Naming Liu, Mingzhi Wang, Youzhi Zhang, Yaodong Yang, Bo An, Ying Wen
Leveraging Team Correlation for Approximating Equilibrium in Two-Team Zero-Sum Games. CoRR (2024)
Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. 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. CoRR (2024)
Qi Wei, Lei Feng, Haobo Wang, Bo An
Debiased Sample Selection for Combating Noisy Labels. CoRR (2024)
Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng
Regression with Cost-based Rejection. NeurIPS (2023)
Xin Cheng, Deng-Bao Wang, Lei Feng, Min-Ling Zhang, Bo An
Partial-Label Regression. AAAI (2023)
Youzhi Zhang, Bo An, V. S. Subrahmanian
Finding Optimal Nash Equilibria in Multiplayer Games via Correlation Plans. AAMAS (2023)
Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Kun Gai, Bo An
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor. ICLR (2023)
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)
Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan
Off-Beat Multi-Agent Reinforcement Learning. AAMAS (2023)
Hongxin Wei, Renchunzi Xie, Lei Feng, Bo Han, Bo An
Deep Learning From Multiple Noisy Annotators as A Union. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Pengdeng Li, Xinrun Wang, Shuxin Li, Hau Chan, Bo An
Population-size-Aware Policy Optimization for Mean-Field Games. CoRR (2023)
Xiao Liu, Shuyang Liu, Bo An, Yang Gao, Shangdong Yang, Wenbin Li
Effective Interpretable Policy Distillation via Critical Experience Point Identification. IEEE Intell. Syst. 38 (5) (2023)
Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng
Weakly Supervised Regression with Interval Targets. ICML (2023)
Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang
Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. CoRR (2023)
Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng
Weakly Supervised Regression with Interval Targets. CoRR (2023)
Zhibin Duan, Zhiyi Lv, Chaojie Wang, Bo Chen, Bo An, Mingyuan Zhou
Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory. NeurIPS (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)
Zhenghai Xue, Qingpeng Cai, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An
State Regularized Policy Optimization on Data with Dynamics Shift. CoRR (2023)
Qian Che, Wanyuan Wang, Fengchen Wang, Tianchi Qiao, Xiang Liu, Jiuchuan Jiang, Bo An, Yichuan Jiang
Structural Credit Assignment-Guided Coordinated MCTS: An Efficient and Scalable Method for Online Multiagent Planning. AAMAS (2023)
Shijie Han, Siyuan Li, Bo An, Wei Zhao, Peng Liu
Classifying ambiguous identities in hidden-role Stochastic games with multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. 37 (2) (2023)
Shuo Sun, Molei Qin, Xinrun Wang, Bo An
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets. CoRR (2023)
Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. NeurIPS (2023)
Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe
Complex Contagion Influence Maximization: A Reinforcement Learning Approach. IJCAI (2023)
Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An
Consistent Complementary-Label Learning via Order-Preserving Losses. AISTATS (2023)
Linjian Meng, Zhenxing Ge, Wenbin Li, Bo An, Yang Gao
Efficient Last-iterate Convergence Algorithms in Solving Games. CoRR (2023)
Shuo Sun, Rundong Wang, Bo An
Reinforcement Learning for Quantitative Trading. ACM Trans. Intell. Syst. Technol. 14 (3) (2023)
Zhenghai Xue, Qingpeng Cai, Tianyou Zuo, Bin Yang, Lantao Hu, Peng Jiang, Kun Gai, Bo An
AdaRec: Adaptive Sequential Recommendation for Reinforcing Long-term User Engagement. CoRR (2023)
Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang
Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. IJCAI (2023)
Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An
PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement. KDD (2023)
Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. 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)
Wanqi Xue, Bo An, Shuicheng Yan, Zhongwen Xu
Reinforcement Learning from Diverse Human Preferences. CoRR (2023)
Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu
RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning. ICLR (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)
Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng
Regression with Cost-based Rejection. CoRR (2023)
Linjian Meng, Zhenxing Ge, Pinzhuo Tian, Bo An, Yang Gao
An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games. AAAI (2023)
Longtao Zheng, Rundong Wang, Bo An
Synapse: Leveraging Few-Shot Exemplars for Human-Level Computer Control. CoRR (2023)
Shifei Ding, Wei Du, Ling Ding, Lili Guo, Jian Zhang, Bo An
Multi-agent dueling Q-learning with mean field and value decomposition. Pattern Recognit. 139 (2023)
Renchunzi Xie, Hongxin Wei, Yuzhou Cao, Lei Feng, Bo An
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. CoRR (2023)
Pengdeng Li, Xinrun Wang, Shuxin Li, Hau Chan, Bo An
Population-size-Aware Policy Optimization for Mean-Field Games. ICLR (2023)
Renchunzi Xie, Hongxin Wei, Lei Feng, Yuzhou Cao, Bo An
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. NeurIPS (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)
Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction. ICML (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)
Zhenghai Xue, Qingpeng Cai, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An
State Regularized Policy Optimization on Data with Dynamics Shift. NeurIPS (2023)
Hui Niu, Siyuan Li, Jiahao Zheng, Zhouchi Lin, Jian Li, Jian Guo, Bo An
IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making. CoRR (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)
Rundong Wang, Longtao Zheng, Wei Qiu, Bowei He, Bo An, Zinovi Rabinovich, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning. CoRR (2023)
Xin Cheng, Deng-Bao Wang, Lei Feng, Min-Ling Zhang, Bo An
Partial-Label Regression. CoRR (2023)
Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe
A Learning Approach to Complex Contagion Influence Maximization. AAMAS (2023)
Junning Liu, Xinjian Li, Bo An, Zijie Xia, Xu Wang
Multi-Faceted Hierarchical Multi-Task Learning for Recommender Systems. CIKM (2022)
Yanchen Deng, Shufeng Kong, Caihua Liu, Bo An
Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems. CoRR (2022)
Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation. AAAI (2022)
Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets. CoRR (2022)
Youzhi Zhang, Bo An, V. S. Subrahmanian
Correlation-Based Algorithm for Team-Maxmin Equilibrium in Multiplayer Extensive-Form Games. IJCAI (2022)
Yanchen Deng, Shufeng Kong, Bo An
Pretrained Cost Model for Distributed Constraint Optimization Problems. AAAI (2022)
Xinrun Wang, Jakub Cerný, Shuxin Li, Chang Yang, Zhuyun Yin, Hau Chan, Bo An
A Unified Perspective on Deep Equilibrium Finding. CoRR (2022)
Yuzhou Cao, Tianchi Cai, Lei Feng, Lihong Gu, Jinjie Gu, Bo An, Gang Niu, Masashi Sugiyama
Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses. NeurIPS (2022)
Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets. ICML (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bo An