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Wen Sun

  1. Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model
    2025/02/14 by Guoqing Ma, Haoyang Huang, Ma, Guoqing +235 · 4 voices · 49 citations
    Computer Science · #Video Coding and Compression Technologies #cs.CL #cs.CV
  2. All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning
    2025/03/03 by Gokul Swamy, Sanjiban Choudhury, Swamy, Gokul +7 · 4 voices · 14 citations
    Computer Science · #Advanced Software Engineering Methodologies #cs.LG
  3. Step-Audio: Unified Understanding and Generation in Intelligent Speech Interaction
    2025/02/17 by Ailin Huang, Boyong Wu, Huang, Ailin +299 · 1 voice · 39 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Human-Computer Interaction (cs.HC) #Sound (cs.SD) #Speech and dialogue systems #cs.AI #cs.CL #cs.HC #cs.SD #eess.AS #electronic engineering #information engineering
  4. Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction
    2017/03/02 by Wen Sun, Arun Venkatraman, Sun, Wen +7 · 14 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  5. Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient
    2022/10/13 by Yuda Song, Yifei Zhou, Song, Yuda +9 · 13 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Reinforcement Learning in Robotics
  6. The Importance of Online Data: Understanding Preference Fine-tuning via Coverage
    2024/06/03 by Yuda Song, Gokul Swamy, Song, Yuda +7 · 2 voices · 11 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.LG
  7. Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates
    2019/12/20 by Wenhao Luo, Wen Sun, Luo, Wenhao +3 · 8 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Electrical engineering #Formal Methods in Verification #Robotics (cs.RO) #Safety Systems Engineering in Autonomy #Software Reliability and Analysis Research #Systems and Control (eess.SY) #electronic engineering #information engineering
  8. PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning
    2020/07/16 by Alekh Agarwal, Mikael Henaff, Agarwal, Alekh +5 · 9 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  9. Policy Poisoning in Batch Reinforcement Learning and Control
    2019/10/13 by Yuzhe Ma, Xuezhou Zhang, Ma, Yuzhe +5 · 10 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Smart Grid Security and Resilience
  10. REBEL: Reinforcement Learning via Regressing Relative Rewards
    2024/04/25 by Zhaolin Gao, Gao, Zhaolin, Jonathan Chang +17 · 11 citations
    Computer Science · #Reinforcement Learning in Robotics
  11. Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization
    2024/07/18 by Audrey Huang, Wenhao Zhan, Huang, Audrey +11 · 1 voice · 9 citations
    Computer Science · Engineering · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Topology Optimization in Engineering #cs.AI #cs.CL #cs.LG
  12. Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design
    2021/10/07 by Ye Yuan, Yuan, Ye, Yuda Song +7 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics #Robotics (cs.RO)
  13. Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR
    2023/02/07 by Kaiwen Wang, Nathan Kallus, Wang, Kaiwen +3 · 6 citations
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Reinforcement Learning in Robotics #Age of Information Optimization
  14. Provable Offline Preference-Based Reinforcement Learning
    2023/05/24 by Wenhao Zhan, Masatoshi Uehara, Zhan, Wenhao +7 · 6 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Receptor Mechanisms and Signaling #Reinforcement Learning in Robotics #Formal Methods in Verification
  15. Making RL with Preference-based Feedback Efficient via Randomization
    2023/10/23 by Runzhe Wu, Wu, Runzhe, Wen Sun +1 · 6 citations
    Computer Science · Social Sciences · #Advanced Software Engineering Methodologies #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Multimedia Communication and Technology #Software Engineering Techniques and Practices
  16. Knowledge structures delineated by fuzzy skill maps
    2020/10/16 by Wen Sun, Jinjin Li, Xun Ge +1 · 7 citations
    Computer Science · #Intelligent Tutoring Systems and Adaptive Learning #AI-based Problem Solving and Planning #Logic, Reasoning, and Knowledge
  17. Provable Reward-Agnostic Preference-Based Reinforcement Learning
    2023/05/29 by Wenhao Zhan, Masatoshi Uehara, Zhan, Wenhao +5 · 4 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Statistics Theory (math.ST)
  18. Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems
    2022/06/24 by Masatoshi Uehara, Uehara, Masatoshi, Ayush Sekhari +7 · 3 citations
    Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Reinforcement Learning in Robotics #Statistics Theory (math.ST)
  19. PAC Reinforcement Learning for Predictive State Representations
    2022/07/12 by Wenhao Zhan, Masatoshi Uehara, Zhan, Wenhao +5 · 3 citations
    Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
  20. Finite Sample Analysis of Minimax Offline Reinforcement Learning: Completeness, Fast Rates and First-Order Efficiency
    2021/02/05 by Masatoshi Uehara, Uehara, Masatoshi, Masaaki Imaizumi +9 · 6 citations
    Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Formal Methods in Verification #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Software Reliability and Analysis Research #Statistics Theory (math.ST)
  21. Theory of Topological Superconductivity and Antiferromagnetic Correlated Insulators in Twisted Bilayer WSe2
    2024/09/10 by Chuyi Tuo, Ming-Rui Li, Tuo, Chuyi +7 · 6 citations
    Materials Science · Physics and Astronomy · #2D Materials and Applications #FOS: Physical sciences #Organic and Molecular Conductors Research #Strongly Correlated Electrons (cond-mat.str-el) #Superconductivity (cond-mat.supr-con) #Topological Materials and Phenomena
  22. Dual Policy Iteration
    2018/05/28 by Wen Sun, Geoffrey J. Gordon, Sun, Wen +5 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Age of Information Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  23. Arbitrary Style Transfer via Multi-Adaptation Network
    2020/05/27 by Yingying Deng, Deng, Yingying, Fan Tang +9 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image Enhancement Techniques
  24. Sketching for Kronecker Product Regression and P-splines
    2017/12/27 by Huaian Diao, Zhao Song, Diao, Huaian +5 · 2 citations
    Engineering · Mathematics · Computer Science · #Sparse and Compressive Sensing Techniques #Tensor decomposition and applications #Matrix Theory and Algorithms
  25. Diffusing States and Matching Scores: A New Framework for Imitation Learning
    2024/10/17 by Runzhe Wu, Yiding Chen, Wu, Runzhe +7 · 1 voice · 4 citations
    Computer Science · #Human Pose and Action Recognition #cs.LG
  26. Robust Policy Gradient against Strong Data Corruption
    2021/02/11 by Xuezhou Zhang, Zhang, Xuezhou, Yiding Chen +5 · 2 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  27. Pair-density-wave phase of strongly interacting electrons on the triangular lattice: A variational Monte Carlo study
    2024/04/18 by Jiucai Wang, Wang, Jiucai, Wen Sun +9 · 4 citations
    Physics and Astronomy · Materials Science · #Physics of Superconductivity and Magnetism #Cold Atom Physics and Bose-Einstein Condensates #Magnetic and transport properties of perovskites and related materials
  28. A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents
    2024/03/10 by Kaiwen Wang, Dawen Liang, Wang, Kaiwen +5 · 3 citations
    Computer Science · Decision Sciences · #FOS: Computer and information sciences #Formal Methods in Verification #Fuzzy Logic and Control Systems #Machine Learning (cs.LG) #Risk and Safety Analysis
  29. Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds
    2024/08/16 by Zhiyong Wang, Dongruo Zhou, Wang, Zhiyong +5 · 4 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Modeling and Simulation Systems
  30. RL for Consistency Models: Faster Reward Guided Text-to-Image Generation
    2024/03/25 by Owen Oertell, Jonathan Chang, Oertell, Owen +7 · 3 citations
    Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Generative Adversarial Networks and Image Synthesis
  31. Accelerating RL for LLM Reasoning with Optimal Advantage Regression
    2025/05/27 by Kianté Brantley, Brantley, Kianté, Mingyu Chen +11 · 9 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Fuzzy Logic and Control Systems #Machine Learning (cs.LG) #Natural Language Processing Techniques
  32. Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF
    2024/10/06 by Zhaolin Gao, Gao, Zhaolin, Wenhao Zhan +11 · 4 citations
    Engineering · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reliability and Maintenance Optimization
  33. Future-Dependent Value-Based Off-Policy Evaluation in POMDPs
    2022/07/26 by Masatoshi Uehara, Uehara, Masatoshi, Haruka Kiyohara +13 · 2 citations
    Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Smart Grid Energy Management
  34. Learning to Generate Better Than Your LLM
    2023/06/20 by Jonathan Chang, Kianté Brantley, Chang, Jonathan D. +7 · 2 citations
    Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  35. Global profiling of functional histidines in live cells using small-molecule photosensitizer and chemical probe relay labelling
    2024/06/04 by Yansheng Zhai, Xinyu Zhang, Zijing Chen +13 · 1 voice · 2 citations
    Chemistry · #Click Chemistry and Applications #Mass Spectrometry Techniques and Applications #Molecular Sensors and Ion Detection
  36. Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery
    2023/10/29 by Katie Z Luo, Luo, Katie Z, Zhenzhen Liu +17 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning and Algorithms #Machine Learning and Data Classification
  37. Constructing polytomous knowledge structures from fuzzy skills
    2022/09/07 by Wen Sun, Jinjin Li, Fucai Lin +1 · 3 citations
    Computer Science · #AI-based Problem Solving and Planning #Intelligent Tutoring Systems and Adaptive Learning #Logic, Reasoning, and Knowledge
  38. Provably Efficient Imitation Learning from Observation Alone
    2019/05/27 by Wen Sun, Sun, Wen, Anirudh Vemula +5 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
  39. Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage
    2023/02/05 by Masatoshi Uehara, Nathan Kallus, Uehara, Masatoshi +5 · 2 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  40. Orchestrating LLMs with Different Personalizations
    2024/07/04 by Jin Zhou, Zhou, Jin Peng, Katie Z Luo +9 · 2 citations
    Computer Science · #Natural Language Processing Techniques #Digital Rights Management and Security
  41. Optimal Sketching for Kronecker Product Regression and Low Rank Approximation
    2019/09/29 by Huaian Diao, Rajesh Jayaram, Diao, Huaian +7 · 1 citation
    Computer Science · #Face and Expression Recognition #Machine Learning and Data Classification #Neural Networks and Applications
  42. Contextual Bandits and Imitation Learning via Preference-Based Active Queries
    2023/07/24 by Ayush Sekhari, Sekhari, Ayush, Karthik Sridharan +5 · 1 citation
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Multimodal Machine Learning Applications
  43. Recurrent Predictive State Policy Networks
    2018/03/05 by Ahmed Hefny, Hefny, Ahmed, Zita Marinho +7 · 1 citation
    Mathematics · Social Sciences · #Artificial Intelligence (cs.AI) #Crime, Illicit Activities, and Governance #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Political Conflict and Governance
  44. Two-Timescale Synchronization and Migration for Digital Twin Networks: A Multi-Agent Deep Reinforcement Learning Approach
    2024/09/02 by Wenshuai Liu, Yaru Fu, Liu, Wenshuai +9 · 1 citation
    Engineering · Computer Science · #Advanced Memory and Neural Computing #Distributed Control Multi-Agent Systems #Neural Networks Stability and Synchronization
  45. Higher Satisfaction, Lower Cost: A Technical Report on How LLMs Revolutionize Meituan's Intelligent Interaction Systems
    2025/10/15 by Xuxin Cheng, Ke Zeng, Cheng, Xuxin +123 · 1 citation
    Business, Management and Accounting · #Artificial Intelligence (cs.AI) #Big Data and Business Intelligence #Computation and Language (cs.CL) #FOS: Computer and information sciences
  46. Dynamical Equations for Poisson Galton--Watson Trees and Component Densities of Sparse Inhomogeneous Random Graphs
    2026/07/18 by Bohan Hu, Wen Sun
    #math.PR