Zhaoran Wang

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 267

Top Venues

Publications

Xianjian Jin, Zhiwei Li, Nonsly Valerienne Opinat Ikiela, Xiongkui He, Zhaoran Wang, Yinchen Tao, Huaizhen Lv
An Efficient Trajectory Planning Approach for Autonomous Ground Vehicles Using Improved Artificial Potential Field. Symmetry 16 (1) (2024)
Hongyi Guo, Yuanshun Yao, Wei Shen, Jiaheng Wei, Xiaoying Zhang, Zhaoran Wang, Yang Liu
Human-Instruction-Free LLM Self-Alignment with Limited Samples. 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)
Jing Wang, Meichen Song, Feng Gao, Boyi Liu, Zhaoran Wang, Yi Wu
Differentiable Arbitrating in Zero-sum Markov Games. AAMAS (2023)
Shenao Zhang, Boyi Liu, Zhaoran Wang, Tuo Zhao
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms. 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)
Haoran Wang, Tianyu Xue, Zhaoran Wang, Xiangyu Bai
Comparison of regional monitoring methods for grassland degradation based on remote sensing images. CACML (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)
Jiayang Li, Jing Yu, Boyi Liu, Yu Nie, Zhaoran Wang
Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints. ICML (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)
Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai
Latent Variable Representation for Reinforcement Learning. ICLR (2023)
Jinyao Liu, Xiangyu Bai, Zhaoran Wang
A review of irrigation monitoring based on Internet of Things, remote sensing and artificial intelligence. CNCIT (2023)
Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency. ICLR (2023)
Zhaoran Wang, Xiangyu Bai, Yu Han
Deep Learning for Regional Subsidence Crisis Prediction in Smart Grid Infrastructure. COMPSAC (2023)
Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo
Dynamic Datasets and Market Environments for Financial Reinforcement Learning. CoRR (2023)
Jiayang Li, Zhaoran Wang, Yu Marco Nie
Wardrop Equilibrium Can Be Boundedly Rational: A New Behavioral Theory of Route Choice. CoRR (2023)
Xianjian Jin, Huaizhen Lv, Zhihui He, Zhiwei Li, Zhaoran Wang, Nonsly Valerienne Opinat Ikiela
Design of Active Disturbance Rejection Controller for Trajectory-Following of Autonomous Ground Electric Vehicles. Symmetry 15 (9) (2023)
Chenjia Bai, Peng Liu, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao, Lei Han, Zhaoran Wang
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (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)
Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang
Let Models Speak Ciphers: Multiagent Debate through Embeddings. 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)
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)
Chenjia Bai, Lingxiao Wang, Yixin Wang, Zhaoran Wang, Rui Zhao, Chenyao Bai, Peng Liu
Addressing Hindsight Bias in Multigoal Reinforcement Learning. IEEE Trans. Cybern. 53 (1) (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)
Peixin Liu, Xiangyu Bai, Zhaoran Wang
Progress and Challenges of Polymorphic Smart Networks. APNOMS (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)
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)
Saizhuo Wang, Zhihan Liu, Zhaoran Wang, Jian Guo
A Principled Framework for Knowledge-enhanced Large Language Model. CoRR (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)
Jing Wang, Meichen Song, Feng Gao, Boyi Liu, Zhaoran Wang, Yi Wu
Differentiable Arbitrating in Zero-sum Markov Games. CoRR (2023)
Jiayang Li, Jing Yu, Boyi Liu, Zhaoran Wang, Yu Marco Nie
Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium Constraints. CoRR (2023)
Yulai Zhao, Zhuoran Yang, Zhaoran Wang, Jason D. Lee
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning. ICML (2023)
Nuoya Xiong, Zhihan Liu, Zhaoran Wang, Zhuoran Yang
Sample-Efficient Multi-Agent RL: An Optimization Perspective. CoRR (2023)
Shenao Zhang, Wanxin Jin, Zhaoran Wang
Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics. ICML (2023)
Kexin Zhou, Xiangyu Bai, Zhaoran Wang
A Review of Vertical Switching Algorithms for Heterogeneous Wireless Networks. ICCCS (2023)
Lei Yao, Xiangyu Bai, Zhaoran Wang
An Overview of Intelligent Algorithm-Based Routing in Delay Tolerant Networks. ICCCS (2023)
Yu Han, Xiangyu Bai, Zhaoran Wang
Research Progress of Image Recognition Based on Grassland Mouse Hole. ICCAI (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)
Zhihan Liu, Hao Hu, Shenao Zhang, Hongyi Guo, Shuqi Ke, Boyi Liu, Zhaoran Wang
Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency. 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)
Jiayang Li, Jing Yu, Qianni Wang, Boyi Liu, Zhaoran Wang, Yu Marco Nie
Differentiable Bilevel Programming for Stackelberg Congestion Games. CoRR (2022)
Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan
A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design. CoRR (2022)
Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing. NeurIPS (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)
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)
Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing. 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)
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)
Yixuan Wang, Chao Huang, Zhaoran Wang, Zhilu Wang, Qi Zhu
Design-while-verify: correct-by-construction control learning with verification in the loop. DAC (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)
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)
Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai
Latent Variable Representation for 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)
Shichao Xu, Yangyang Fu, Yixuan Wang, Zhuoran Yang, Zheng O'Neill, Zhaoran Wang, Qi Zhu
Accelerate online reinforcement learning for building HVAC control with heterogeneous expert guidances. BuildSys@SenSys (2022)
Zuyue Fu, Zhengling Qi, Zhaoran Wang, Zhuoran Yang, Yanxun Xu, Michael R. Kosorok
Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes. CoRR (2022)
Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Nie, Zhaoran Wang
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence. NeurIPS (2022)
Doudou Zhou, Yufeng Zhang, Aaron Sonabend W., Zhaoran Wang, Junwei Lu, Tianxi Cai
Federated Offline Reinforcement Learning. CoRR (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. NeurIPS (2022)
Yufeng Zhang, Boyi Liu, Qi Cai, Lingxiao Wang, Zhaoran Wang
An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models. CoRR (2022)
Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, Zhaoran Wang
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL. CoRR (2022)
Xiao-Yang Liu, Ziyi Xia, Jingyang Rui, Jiechao Gao, Hongyang Yang, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo
FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning. 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. CoRR (2022)
Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhihong Deng, Animesh Garg, Peng Liu, Zhaoran Wang
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. CoRR (2022)
Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, Zhaoran Wang
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL. NeurIPS (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhaoran Wang