Zhuoran Yang

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 256

Top Venues

Publications

Awni Altabaa, Zhuoran Yang
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games. CoRR (2024)
Chenjia Bai, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li
Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning. Artif. Intell. 326 (2024)
Siyu Chen, Heejune Sheen, Tianhao Wang, Zhuoran Yang
Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality. CoRR (2024)
Han Shen, Zhuoran Yang, Tianyi Chen
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF. CoRR (2024)
Chenjia Bai, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning. CoRR (2024)
Siyu Chen, Heejune Sheen, Tianhao Wang, Zhuoran Yang
Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality (extended abstract). COLT (2024)
Chuanhao Li, Runhan Yang, Tiankai Li, Milad Bafarassat, Kourosh Sharifi, Dirk Bergemann, Zhuoran Yang
STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and Interactive Decision-Making. CoRR (2024)
Nuoya Xiong, Zhihan Liu, Zhaoran Wang, Zhuoran Yang
Sample-Efficient Multi-Agent RL: An Optimization Perspective. ICLR (2024)
Jianliang He, Siyu Chen, Fengzhuo Zhang, Zhuoran Yang
From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems. CoRR (2024)
Zehao Dou, Minshuo Chen, Mengdi Wang, Zhuoran Yang
Provable Statistical Rates for Consistency Diffusion Models. CoRR (2024)
Juno Kim, Kakei Yamamoto, Kazusato Oko, Zhuoran Yang, Taiji Suzuki
Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems. ICLR (2024)
Zihao Li, Boyi Liu, Zhuoran Yang, Zhaoran Wang, Mengdi Wang
Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning. CoRR (2024)
Yuchen Zhu, Yufeng Zhang, Zhaoran Wang, Zhuoran Yang, Xiaohong Chen
A Mean-Field Analysis of Neural Gradient Descent-Ascent: Applications to Functional Conditional Moment Equations. CoRR (2024)
Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Tianyi Zhou, Zhaoran Wang, Jing Jiang
False Correlation Reduction for Offline Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (2) (2024)
Jianliang He, Han Zhong, Zhuoran Yang
Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation. ICLR (2024)
Qi Cai, Zhuoran Yang, Jason D. Lee, Zhaoran Wang
Neural Temporal Difference and Q Learning Provably Converge to Global Optima. Math. Oper. Res. 49 (1) (2024)
Jianliang He, Han Zhong, Zhuoran Yang
Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation. CoRR (2024)
Hengyu Fu, Zhuoran Yang, Mengdi Wang, Minshuo Chen
Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory. CoRR (2024)
Zhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang
One Objective to Rule Them All: A Maximization Objective Fusing Estimation and Planning for Exploration. CoRR (2023)
Haoran Xu, Li Jiang, Jianxiong Li, Zhuoran Yang, Zhaoran Wang, Wai Kin Victor Chan, Xianyuan Zhan
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization. CoRR (2023)
Yixuan Wang, Simon Sinong Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang, Qi Zhu
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments. ICML (2023)
Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang
Learning Regularized Graphon Mean-Field Games with Unknown Graphons. CoRR (2023)
Sirui Zheng, Lingxiao Wang, Shuang Qiu, Zuyue Fu, Zhuoran Yang, Csaba Szepesvári, Zhaoran Wang
Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics. ICLR (2023)
Miao Lu, Yifei Min, Zhaoran Wang, Zhuoran Yang
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes. ICLR (2023)
Chi Jin, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan
Provably Efficient Reinforcement Learning with Linear Function Approximation. Math. Oper. Res. 48 (3) (2023)
Shuang Qiu, Ziyu Dai, Han Zhong, Zhaoran Wang, Zhuoran Yang, Tong Zhang
Posterior Sampling for Competitive RL: Function Approximation and Partial Observation. CoRR (2023)
Zihao Li, Zhuoran Yang, Mengdi Wang
Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism. CoRR (2023)
Yixuan Wang, Simon Sinong Zhan, Zhilu Wang, Chao Huang, Zhaoran Wang, Zhuoran Yang, Qi Zhu
Joint Differentiable Optimization and Verification for Certified Reinforcement Learning. ICCPS (2023)
Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency. ICLR (2023)
Wenhao Zhan, Jason D. Lee, Zhuoran Yang
Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games. ICLR (2023)
Zhuoqing Song, Jason D. Lee, Zhuoran Yang
Can We Find Nash Equilibria at a Linear Rate in Markov Games? ICLR (2023)
Siyu Chen, Jibang Wu, Yifan Wu, Zhuoran Yang
Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model. CoRR (2023)
Pangpang Liu, Zhuoran Yang, Zhaoran Wang, Will Wei Sun
Contextual Dynamic Pricing with Strategic Buyers. CoRR (2023)
Jianqing Fan, Zhaoran Wang, Zhuoran Yang, Chenlu Ye
Provably Efficient High-Dimensional Bandit Learning with Batched Feedbacks. CoRR (2023)
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning. L4DC (2023)
Haoran He, Chenjia Bai, Kang Xu, Zhuoran Yang, Weinan Zhang, Dong Wang, Bin Zhao, Xuelong Li
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning. CoRR (2023)
Ruitu Xu, Yifei Min, Tianhao Wang, Michael I. Jordan, Zhaoran Wang, Zhuoran Yang
Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning. AISTATS (2023)
Yulai Zhao, Zhuoran Yang, Zhaoran Wang, Jason D. Lee
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning. CoRR (2023)
Haoran Xu, Li Jiang, Jianxiong Li, Zhuoran Yang, Zhaoran Wang, Wai Kin Victor Chan, Xianyuan Zhan
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization. ICLR (2023)
Siyu Chen, Jibang Wu, Yifan Wu, Zhuoran Yang
Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model. ICML (2023)
Siyu Chen, Yitan Wang, Zhaoran Wang, Zhuoran Yang
A Unified Framework of Policy Learning for Contextual Bandit with Confounding Bias and Missing Observations. CoRR (2023)
Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang
Learning Regularized Monotone Graphon Mean-Field Games. NeurIPS (2023)
Shuang Qiu, Ziyu Dai, Han Zhong, Zhaoran Wang, Zhuoran Yang, Tong Zhang
Posterior Sampling for Competitive RL: Function Approximation and Partial Observation. NeurIPS (2023)
Nuoya Xiong, Zhaoran Wang, Zhuoran Yang
A General Framework for Sequential Decision-Making under Adaptivity Constraints. CoRR (2023)
Han Zhong, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan
Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopically Rational Followers? J. Mach. Learn. Res. 24 (2023)
Ruitu Xu, Yifei Min, Tianhao Wang, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang
Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models with Reinforcement Learning. CoRR (2023)
Siyu Chen, Mengdi Wang, Zhuoran Yang
Actions Speak What You Want: Provably Sample-Efficient Reinforcement Learning of the Quantal Stackelberg Equilibrium from Strategic Feedbacks. CoRR (2023)
Nikola Banovic, Zhuoran Yang, Aditya Ramesh, Alice Liu
Being Trustworthy is Not Enough: How Untrustworthy Artificial Intelligence (AI) Can Deceive the End-Users and Gain Their Trust. Proc. ACM Hum. Comput. Interact. 7 (CSCW1) (2023)
Yufeng Zhang, Fengzhuo Zhang, Zhuoran Yang, Zhaoran Wang
What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization. CoRR (2023)
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning. CoRR (2023)
Banghua Zhu, Stephen Bates, Zhuoran Yang, Yixin Wang, Jiantao Jiao, Michael I. Jordan
The Sample Complexity of Online Contract Design. EC (2023)
Zhuoran Yang, Yuan Gao, Jingfang Deng, Lixiang Lv
Partial Discharge Characteristics and Growth Stage Recognition of Electrical Tree in XLPE Insulation. IEEE Access 11 (2023)
Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang
A Two-Timescale Stochastic Algorithm Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic. SIAM J. Optim. 33 (1) (2023)
Yulai Zhao, Zhuoran Yang, Zhaoran Wang, Jason D. Lee
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning. ICML (2023)
Haoran He, Chenjia Bai, Kang Xu, Zhuoran Yang, Weinan Zhang, Dong Wang, Bin Zhao, Xuelong Li
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning. NeurIPS (2023)
Zhuoqing Song, Jason D. Lee, Zhuoran Yang
Can We Find Nash Equilibria at a Linear Rate in Markov Games? CoRR (2023)
Nuoya Xiong, Zhihan Liu, Zhaoran Wang, Zhuoran Yang
Sample-Efficient Multi-Agent RL: An Optimization Perspective. CoRR (2023)
Zihan Zhu, Ethan Fang, Zhuoran Yang
Online Performative Gradient Descent for Learning Nash Equilibria in Decision-Dependent Games. NeurIPS (2023)
Zhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang
Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration. NeurIPS (2023)
Jiacheng Guo, Zihao Li, Huazheng Wang, Mengdi Wang, Zhuoran Yang, Xuezhou Zhang
Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP. ICML (2023)
Jiacheng Guo, Zihao Li, Huazheng Wang, Mengdi Wang, Zhuoran Yang, Xuezhou Zhang
Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP. CoRR (2023)
Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang
Learning Regularized Monotone Graphon Mean-Field Games. CoRR (2023)
Yixuan Wang, Ruochen Jiao, Chengtian Lang, Simon Sinong Zhan, Chao Huang, Zhaoran Wang, Zhuoran Yang, Qi Zhu
Empowering Autonomous Driving with Large Language Models: A Safety Perspective. CoRR (2023)
Qiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang
Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium. Math. Oper. Res. 48 (1) (2023)
Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan
A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design. CoRR (2022)
Shuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions. CoRR (2022)
Hongyi Guo, Qi Cai, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang
Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes. ICML (2022)
Yifei Min, Tianhao Wang, Ruitu Xu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang
Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets. CoRR (2022)
Qi Cai, Zhuoran Yang, Zhaoran Wang
Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency. ICML (2022)
Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning. ICML (2022)
Boxiang Lyu, Zhaoran Wang, Mladen Kolar, Zhuoran Yang
Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning. CoRR (2022)
Qi Cai, Zhuoran Yang, Zhaoran Wang
Sample-Efficient Reinforcement Learning for POMDPs with Linear Function Approximations. CoRR (2022)
Han Zhong, Wei Xiong, Jiyuan Tan, Liwei Wang, Tong Zhang, Zhaoran Wang, Zhuoran Yang
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets. CoRR (2022)
Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang
A Unifying Framework of Off-Policy General Value Function Evaluation. NeurIPS (2022)
Yixuan Wang, Simon Sinong Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang, Qi Zhu
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments. CoRR (2022)
Zehao Dou, Zhuoran Yang, Zhaoran Wang, Simon S. Du
Gap-Dependent Bounds for Two-Player Markov Games. AISTATS (2022)
Mengxin Yu, Zhuoran Yang, Jianqing Fan
Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments. CoRR (2022)
Zuyue Fu, Zhengling Qi, Zhuoran Yang, Zhaoran Wang, Lan Wang
Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information. CoRR (2022)
Yixuan Wang, Chao Huang, Zhaoran Wang, Zhuoran Yang, Qi Zhu
Joint Differentiable Optimization and Verification for Certified Reinforcement Learning. CoRR (2022)
Riashat Islam, Samarth Sinha, Homanga Bharadhwaj, Samin Yeasar Arnob, Zhuoran Yang, Animesh Garg, Zhaoran Wang, Lihong Li, Doina Precup
Offline Policy Optimization in RL with Variance Regularizaton. CoRR (2022)
Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhi-Hong Deng, Animesh Garg, Peng Liu, Zhaoran Wang
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. ICLR (2022)
Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency. CoRR (2022)
Jibang Wu, Zixuan Zhang, Zhe Feng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan, Haifeng Xu
Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning. CoRR (2022)
Banghua Zhu, Stephen Bates, Zhuoran Yang, Yixin Wang, Jiantao Jiao, Michael I. Jordan
The Sample Complexity of Online Contract Design. CoRR (2022)
Boxiang Lyu, Qinglin Meng, Shuang Qiu, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan
Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach. CoRR (2022)
Zhi Zhang, Zhuoran Yang, Han Liu, Pratap Tokekar, Furong Huang
Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory. ICLR (2022)
Han Zhong, Wei Xiong, Jiyuan Tan, Liwei Wang, Tong Zhang, Zhaoran Wang, Zhuoran Yang
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets. ICML (2022)
Han Zhong, Wei Xiong, Sirui Zheng, Liwei Wang, Zhaoran Wang, Zhuoran Yang, Tong Zhang
A Posterior Sampling Framework for Interactive Decision Making. CoRR (2022)
Boxiang Lyu, Zhaoran Wang, Mladen Kolar, Zhuoran Yang
Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning. ICML (2022)
Jibang Wu, Zixuan Zhang, Zhe Feng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan, Haifeng Xu
Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning. EC (2022)
Baihe Huang, Jason D. Lee, Zhaoran Wang, Zhuoran Yang
Towards General Function Approximation in Zero-Sum Markov Games. ICLR (2022)
Siyu Chen, Donglin Yang, Jiayang Li, Senmiao Wang, Zhuoran Yang, Zhaoran Wang
Adaptive Model Design for Markov Decision Process. ICML (2022)
Grigoris Velegkas, Zhuoran Yang, Amin Karbasi
The Best of Both Worlds: Reinforcement Learning with Logarithmic Regret and Policy Switches. CoRR (2022)
Miao Lu, Yifei Min, Zhaoran Wang, Zhuoran Yang
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes. CoRR (2022)
Gene Li, Junbo Li, Anmol Kabra, Nati Srebro, Zhaoran Wang, Zhuoran Yang
Exponential Family Model-Based Reinforcement Learning via Score Matching. NeurIPS (2022)
Xiaoyu Chen, Han Zhong, Zhuoran Yang, Zhaoran Wang, Liwei Wang
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation. ICML (2022)
Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning. CoRR (2022)
Zhihan Liu, Yufeng Zhang, Zuyue Fu, Zhuoran Yang, Zhaoran Wang
Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation. ICML (2022)
Ying Jin, Zhimei Ren, Zhuoran Yang, Zhaoran Wang
Policy learning "without" overlap: Pessimism and generalized empirical Bernstein's inequality. CoRR (2022)
Zhihan Liu, Miao Lu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang
Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy. ICML (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhuoran Yang