Zhaoran Wang - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 100 from 143

2023

Provably Efficient Reinforcement Learning with Linear Function ApproximationChi Jin 0001, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan. mor, 48(3):1496-1521, August 2023. [doi]

Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopically Rational Followers?Han Zhong 0001, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan. jmlr, 24, 2023. [doi]

Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic EnvironmentsYixuan Wang 0001, Simon Sinong Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang 0015, Qi Zhu 0002. icml 2023: 36593-36604 [doi]

Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement LearningYulai Zhao 0002, Zhuoran Yang, Zhaoran Wang, Jason D. Lee. icml 2023: 42200-42226 [doi]

Represent to Control Partially Observed Systems: Representation Learning with Provable Sample EfficiencyLingxiao Wang 0003, Qi Cai, Zhuoran Yang, Zhaoran Wang. iclr 2023: [doi]

Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement LearningChenjia Bai, Peng Liu 0008, Kaiyu Liu, Lingxiao Wang 0003, Yingnan Zhao, Lei Han 0001, Zhaoran Wang. tnn, 34(8):4776-4790, August 2023. [doi]

Addressing Hindsight Bias in Multigoal Reinforcement LearningChenjia Bai, Lingxiao Wang, Yixin Wang, Zhaoran Wang, Rui Zhao, Chenyao Bai, Peng Liu. tcyb, 53(1):392-405, 2023. [doi]

Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement LearningDongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic. l4dc 2023: 315-332 [doi]

Research Progress of Image Recognition Based on Grassland Mouse HoleYu Han, Xiangyu Bai, Zhaoran Wang. iccai 2023: 208-213 [doi]

A Two-Timescale Stochastic Algorithm Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-CriticMingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang. siamjo, 33(1):147-180, March 2023. [doi]

Design of Active Disturbance Rejection Controller for Trajectory-Following of Autonomous Ground Electric VehiclesXianjian Jin, Huaizhen Lv, Zhihui He, Zhiwei Li, Zhaoran Wang, Nonsly Valerienne Opinat Ikiela. symmetry, 15(9):1786, September 2023. [doi]

Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium ConstraintsJiayang Li, Jing Yu, Boyi Liu, Yu Nie, Zhaoran Wang. icml 2023: 20312-20335 [doi]

Progress and Challenges of Polymorphic Smart NetworksPeixin Liu, Xiangyu Bai, Zhaoran Wang. apnoms 2023: 345-348 [doi]

A review of irrigation monitoring based on Internet of Things, remote sensing and artificial intelligenceJinyao Liu, Xiangyu Bai, Zhaoran Wang. cncit 2023: 73-77 [doi]

Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision ProcessesMiao Lu, Yifei Min, Zhaoran Wang, Zhuoran Yang. iclr 2023: [doi]

Latent Variable Representation for Reinforcement LearningTongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li 0002, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai 0001. iclr 2023: [doi]

Deep Learning for Regional Subsidence Crisis Prediction in Smart Grid InfrastructureZhaoran Wang, Xiangyu Bai, Yu Han. compsac 2023: 1015-1016 [doi]

Joint Differentiable Optimization and Verification for Certified Reinforcement LearningYixuan Wang, Simon Sinong Zhan, Zhilu Wang, Chao Huang 0015, Zhaoran Wang, Zhuoran Yang, Qi Zhu 0002. iccps 2023: 132-141 [doi]

Comparison of regional monitoring methods for grassland degradation based on remote sensing imagesHaoran Wang, Tianyu Xue, Zhaoran Wang, Xiangyu Bai. cacml 2023: 435-439 [doi]

Differentiable Arbitrating in Zero-sum Markov GamesJing Wang, Meichen Song, Feng Gao, Boyi Liu, Zhaoran Wang, Yi Wu. atal 2023: 1034-1043 [doi]

Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated EquilibriumQiaomin Xie, Yudong Chen 0001, Zhaoran Wang, Zhuoran Yang. mor, 48(1):433-462, February 2023. [doi]

Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement LearningRuitu Xu, Yifei Min, Tianhao Wang 0002, Michael I. Jordan, Zhaoran Wang, Zhuoran Yang. aistats 2023: 375-407 [doi]

Offline RL with No OOD Actions: In-Sample Learning via Implicit Value RegularizationHaoran Xu, Li Jiang 0008, Jianxiong Li, Zhuoran Yang, Zhaoran Wang, Wai Kin Victor Chan, Xianyuan Zhan. iclr 2023: [doi]

An Overview of Intelligent Algorithm-Based Routing in Delay Tolerant NetworksLei Yao, Xiangyu Bai, Zhaoran Wang. ccoms 2023: 345-350 [doi]

Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact DynamicsShenao Zhang, Wanxin Jin, Zhaoran Wang. icml 2023: 41219-41243 [doi]

Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural DynamicsSirui Zheng, Lingxiao Wang 0003, Shuang Qiu, Zuyue Fu, Zhuoran Yang, Csaba Szepesvári, Zhaoran Wang. iclr 2023: [doi]

A Review of Vertical Switching Algorithms for Heterogeneous Wireless NetworksKexin Zhou, Xiangyu Bai, Zhaoran Wang. ccoms 2023: 326-331 [doi]

2022

Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement LearningChenjia Bai, Lingxiao Wang 0003, Zhuoran Yang, Zhi-Hong Deng, Animesh Garg, Peng Liu 0008, Zhaoran Wang. iclr 2022: [doi]

Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample EfficiencyQi Cai, Zhuoran Yang, Zhaoran Wang. icml 2022: 2485-2522 [doi]

Adaptive Model Design for Markov Decision ProcessSiyu Chen, Donglin Yang, Jiayang Li, Senmiao Wang, Zhuoran Yang, Zhaoran Wang. icml 2022: 3679-3700 [doi]

Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function ApproximationXiaoyu Chen, Han Zhong, Zhuoran Yang, Zhaoran Wang, Liwei Wang. icml 2022: 3773-3793 [doi]

Gap-Dependent Bounds for Two-Player Markov GamesZehao Dou, Zhuoran Yang, Zhaoran Wang, Simon S. Du. aistats 2022: 432-455 [doi]

Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision ProcessesHongyi Guo, Qi Cai, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang. icml 2022: 8016-8038 [doi]

Towards General Function Approximation in Zero-Sum Markov GamesBaihe Huang, Jason D. Lee, Zhaoran Wang, Zhuoran Yang. iclr 2022: [doi]

Exponential Family Model-Based Reinforcement Learning via Score MatchingGene Li, Junbo Li, Anmol Kabra, Nati Srebro, Zhaoran Wang, Zhuoran Yang. nips 2022: [doi]

Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange EconomyZhihan Liu, Miao Lu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang. icml 2022: 13870-13911 [doi]

Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global ConvergenceBoyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Nie, Zhaoran Wang. nips 2022: [doi]

FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement LearningXiao-Yang Liu, Ziyi Xia, Jingyang Rui, Jiechao Gao, Hongyang Yang, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo. nips 2022: [doi]

Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function ApproximationZhihan Liu, Yufeng Zhang, Zuyue Fu, Zhuoran Yang, Zhaoran Wang. icml 2022: 14094-14138 [doi]

Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement LearningBoxiang Lyu, Zhaoran Wang, Mladen Kolar, Zhuoran Yang. icml 2022: 14601-14638 [doi]

Learn to Match with No Regret: Reinforcement Learning in Markov Matching MarketsYifei Min, Tianhao Wang 0002, Ruitu Xu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang. nips 2022: [doi]

Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement LearningShuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang. icml 2022: 18168-18210 [doi]

Design-while-verify: correct-by-construction control learning with verification in the loopYixuan Wang, Chao Huang 0015, Zhaoran Wang, Zhilu Wang, Qi Zhu 0002. dac 2022: 925-930 [doi]

Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement LearningJibang Wu, Zixuan Zhang, Zhe Feng 0004, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan, Haifeng Xu. sigecom 2022: 471-472 [doi]

A Unifying Framework of Off-Policy General Value Function EvaluationTengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang. nips 2022: [doi]

Accelerate online reinforcement learning for building HVAC control with heterogeneous expert guidancesShichao Xu, Yangyang Fu, Yixuan Wang, Zhuoran Yang, Zheng O'Neill, Zhaoran Wang, Qi Zhu 0002. sensys 2022: 89-98 [doi]

RORL: Robust Offline Reinforcement Learning via Conservative SmoothingRui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han. nips 2022: [doi]

Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARLFengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, Zhaoran Wang. nips 2022: [doi]

Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline DatasetsHan Zhong, Wei Xiong, Jiyuan Tan, Liwei Wang, Tong Zhang, Zhaoran Wang, Zhuoran Yang. icml 2022: 27117-27142 [doi]

2021

Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-CriticYufeng Zhang 0007, Siyu Chen, Zhuoran Yang, Michael I. Jordan, Zhaoran Wang. nips 2021: 15993-16006 [doi]

Dynamic Bottleneck for Robust Self-Supervised ExplorationChenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu 0008, Zhaoran Wang. nips 2021: 17007-17020 [doi]

Principled Exploration via Optimistic Bootstrapping and Backward InductionChenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu 0008, Zhaoran Wang. icml 2021: 577-587 [doi]

Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RLMinshuo Chen, Yan Li 0074, Ethan Wang, Zhuoran Yang, Zhaoran Wang, Tuo Zhao. nips 2021: 17913-17926 [doi]

Provably Efficient Safe Exploration via Primal-Dual Policy OptimizationDongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic. aistats 2021: 3304-3312 [doi]

Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing ApproachYingjie Fei, Zhuoran Yang, Zhaoran Wang. icml 2021: 3198-3207 [doi]

Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement LearningYingjie Fei, Zhuoran Yang, Yudong Chen 0001, Zhaoran Wang. nips 2021: 20436-20446 [doi]

Single-Timescale Actor-Critic Provably Finds Globally Optimal PolicyZuyue Fu, Zhuoran Yang, Zhaoran Wang. iclr 2021: [doi]

Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic GamesHongyi Guo, Zuyue Fu, Zhuoran Yang, Zhaoran Wang. icml 2021: 3899-3909 [doi]

Randomized Exploration in Reinforcement Learning with General Value Function ApproximationHaque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup, Lin Yang. icml 2021: 4607-4616 [doi]

Is Pessimism Provably Efficient for Offline RL?Ying Jin, Zhuoran Yang, Zhaoran Wang. icml 2021: 5084-5096 [doi]

A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-MomentumPrashant Khanduri, Siliang Zeng, Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang. nips 2021: 30271-30283 [doi]

FinRL-podracer: high performance and scalable deep reinforcement learning for quantitative financeZechu Li, Xiao-Yang Liu, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo. icaif 2021: [doi]

BooVI: Provably Efficient Bootstrapped Value IterationBoyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang. nips 2021: 7041-7053 [doi]

Spectrum Truncation Power Iteration for Agnostic Matrix Phase RetrievalLewis Liu, Songtao Lu, Tuo Zhao, Zhaoran Wang. tsp, 69:3991-4006, 2021. [doi]

Infinite-Dimensional Optimization for Zero-Sum Games via Variational TransportLewis Liu, Yufeng Zhang, Zhuoran Yang, Reza Babanezhad, Zhaoran Wang. icml 2021: 7033-7044 [doi]

Trajectory Privacy Protection Method based on Shadow vehiclesYaqiong Ma, Xiangyu Bai, Zhaoran Wang. ispa 2021: 668-673 [doi]

On Finite-Time Convergence of Actor-Critic AlgorithmShuang Qiu, Zhuoran Yang, Jieping Ye, Zhaoran Wang. jsait, 2(2):652-664, 2021. [doi]

On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov GameShuang Qiu, Jieping Ye, Zhaoran Wang, Zhuoran Yang. icml 2021: 8737-8747 [doi]

Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured TransitionsShuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang. icml 2021: 8715-8725 [doi]

Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous TimeWeichen Wang, Jiequn Han, Zhuoran Yang, Zhaoran Wang. icml 2021: 10772-10782 [doi]

Cocktail: Learn a Better Neural Network Controller from Multiple Experts via Adaptive Mixing and Robust DistillationYixuan Wang, Chao Huang, Zhilu Wang, Shichao Xu, Zhaoran Wang, Qi Zhu 0002. dac 2021: 397-402 [doi]

Provably Efficient Causal Reinforcement Learning with Confounded Observational DataLingxiao Wang, Zhuoran Yang, Zhaoran Wang. nips 2021: 21164-21175 [doi]

Sample ElicitationJiaheng Wei, Zuyue Fu, Yang Liu, Xingyu Li, Zhuoran Yang, Zhaoran Wang. aistats 2021: 2692-2700 [doi]

Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value IterationRunzhe Wu, Yufeng Zhang 0007, Zhuoran Yang, Zhaoran Wang. nips 2021: 25439-25451 [doi]

Learning While Playing in Mean-Field Games: Convergence and OptimalityQiaomin Xie, Zhuoran Yang, Zhaoran Wang, Andreea Minca. icml 2021: 11436-11447 [doi]

Doubly Robust Off-Policy Actor-Critic: Convergence and OptimalityTengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang. icml 2021: 11581-11591 [doi]

Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic CaseYufeng Y. Zhang, Zhuoran Yang, Zhaoran Wang. aistats 2021: 2764-2772 [doi]

Provably Sample Efficient Reinforcement Learning in Competitive Linear Quadratic SystemsJingwei Zhang, Zhuoran Yang, Zhengyuan Zhou, Zhaoran Wang. l4dc 2021: 597-598 [doi]

2020

Provably Efficient Exploration in Policy OptimizationQi Cai, Zhuoran Yang, Chi Jin, Zhaoran Wang. icml 2020: 1283-1294 [doi]

On Computation and Generalization of Generative Adversarial Imitation LearningMinshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang, Tuo Zhao. iclr 2020: [doi]

Dynamic Regret of Policy Optimization in Non-Stationary EnvironmentsYingjie Fei, Zhuoran Yang, Zhaoran Wang, Qiaomin Xie. nips 2020: [doi]

Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in RegretYingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang, Qiaomin Xie. nips 2020: [doi]

Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field GamesZuyue Fu, Zhuoran Yang, Yongxin Chen, Zhaoran Wang. iclr 2020: [doi]

Provably efficient reinforcement learning with linear function approximationChi Jin, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan. colt 2020: 2137-2143 [doi]

Pontryagin Differentiable Programming: An End-to-End Learning and Control FrameworkWanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou. nips 2020: [doi]

Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising ModelYing Jin, Zhaoran Wang, Junwei Lu. icml 2020: 4901-4910 [doi]

End-to-End Learning and Intervention in GamesJiayang Li, Jing Yu, Yu Marco Nie, Zhaoran Wang. nips 2020: [doi]

Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial ApproachLuofeng Liao, You-Lin Chen, Zhuoran Yang, Bo Dai, Mladen Kolar, Zhaoran Wang. nips 2020: [doi]

Tensor Graphical Model: Non-Convex Optimization and Statistical InferenceXiang Lyu, Will Wei Sun, Zhaoran Wang, Han Liu, Jian Yang, Guang Cheng. pami, 42(8):2024-2037, 2020. [doi]

Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable GuaranteesSen Na, Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar. icml 2020: 7141-7152 [doi]

Agnostic Estimation for Phase RetrievalMatey Neykov, Zhaoran Wang, Han Liu 0001. jmlr, 21, 2020. [doi]

Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial LossShuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang. nips 2020: [doi]

Provably Efficient Neural GTD for Off-Policy LearningHoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong. nips 2020: [doi]

Neural Policy Gradient Methods: Global Optimality and Rates of ConvergenceLingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang. iclr 2020: [doi]

Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement LearningLingxiao Wang, Zhuoran Yang, Zhaoran Wang. icml 2020: 10092-10103 [doi]

On the Global Optimality of Model-Agnostic Meta-LearningLingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang. icml 2020: 9837-9846 [doi]

Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated EquilibriumQiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang. colt 2020: 3674-3682 [doi]

Provably Efficient Reinforcement Learning with Kernel and Neural Function ApproximationsZhuoran Yang, Chi Jin, Zhaoran Wang, Mengdi Wang, Michael I. Jordan. nips 2020: [doi]

Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence RateYufeng Zhang, Qi Cai, Zhuoran Yang, Zhaoran Wang. icml 2020: 11044-11054 [doi]

Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field TheoryYufeng Zhang, Qi Cai, Zhuoran Yang, Yongxin Chen, Zhaoran Wang. nips 2020: [doi]

See Also

All Publications

Filter by Year
OR AND NOT 1

Filter by Type
OR AND NOT 1

Filter by Tag

Filter by Venue

[+]
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top Terms

[+]
OR AND NOT 1

Researchr

Publications by 'Zhaoran Wang'

Viewing Publication 1 - 100 from 143

2023

2022

2021

2020

See Also

All Publications

Filter by YearOR AND NOT 1

Filter by TypeOR AND NOT 1

Filter by Tag

Filter by Venue [+]OR AND NOT 1

Filter by Author [+]OR AND NOT 1

Filter by Top Terms [+]OR AND NOT 1

Researchr

Publications by 'Zhaoran Wang'

Viewing Publication 1 - 100 from 143

2023

2022

2021

2020

Filter by Year
OR AND NOT 1

Filter by Type
OR AND NOT 1

Filter by Venue

[+]
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top Terms

[+]
OR AND NOT 1