Zhuoran Yang

发表

Decentralized multi-agent reinforcement learning with networked agents: recent advances pdf

Tamer Basar, Kaiqing Zhang, Zhuoran Yang, 2019, Frontiers of Information Technology & Electronic Engineering.

Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games pdf

Yongxin Chen, Zhaoran Wang, Zhuoran Yang, 2019, ICLR.

A Convergence Result for Regularized Actor-Critic Methods

Ji Liu, Kaiqing Zhang, Zhuoran Yang, 2019 .

Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy pdf

Zhuoran Yang, Zuyue Fu, Zhaoran Wang, 2020, ArXiv.

On the Global Optimality of Model-Agnostic Meta-Learning

Zhaoran Wang, Lingxiao Wang, Qi Cai, 2020, ICML.

Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost

Yongxin Chen, Zhaoran Wang, Mingyi Hong, 2019, NeurIPS.

Is Pessimism Provably Efficient for Offline RL? pdf

Zhuoran Yang, Zhaoran Wang, Ying Jin, 2020, ArXiv.

Statistical-Computational Tradeoff in Single Index Models

Zhaoran Wang, Lingxiao Wang, Zhuoran Yang, 2019, NeurIPS.

Convergent Policy Optimization for Safe Reinforcement Learning

Mladen Kolar, Zhuoran Yang, Zhaoran Wang, 2019, NeurIPS.

Provable Convergence and Global Optimality of Generative Adversarial Network

Jason D. Lee, Zhuoran Yang, Zhaoran Wang, 2019 .

Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms pdf

Tamer Basar, Kaiqing Zhang, Zhuoran Yang, 2019, Handbook of Reinforcement Learning and Control.

Credible Sample Elicitation by Deep Learning, for Deep Learning pdf

Zhaoran Wang, Yang Liu, Zhuoran Yang, 2019, ArXiv.

Credible Sample Elicitation

Zhaoran Wang, Yang Liu, Zhuoran Yang, 2019 .

Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate

Yufeng Zhang, Zhuoran Yang, Zhaoran Wang, 2020, ICML.

Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium pdf

Qiaomin Xie, Zhuoran Yang, Zhaoran Wang, 2020, COLT 2020.

Provably Efficient Reinforcement Learning with Kernel and Neural Function Approximations

Michael I. Jordan, Mengdi Wang, Chi Jin, 2020, NeurIPS.

Bridging Exploration and General Function Approximation in Reinforcement Learning: Provably Efficient Kernel and Neural Value Iterations pdf

Michael I. Jordan, Chi Jin, Zhuoran Yang, 2020, ArXiv.

Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees

Sen Na, Mladen Kolar, Zhuoran Yang, 2020, ICML.

Variance Reduced Policy Evaluation with Smooth Function Approximation

Zhaoran Wang, Mingyi Hong, Zhuoran Yang, 2019, NeurIPS.

Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy

Qi Cai, Boyi Liu, Zhuoran Yang, 2019, NeurIPS.

On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost pdf

Yongxin Chen, Zhaoran Wang, Mingyi Hong, 2019, ArXiv.

An efficient Gehan-type estimation for the accelerated failure time model with clustered and censored data

Liya Fu, Yan Zhou, Zhuoran Yang, 2020, Lifetime Data Analysis.

A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning*

Ji Liu, Zhaoran Wang, Tamer Basar, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework pdf

Shaoshuai Mou, Zhuoran Yang, Zhaoran Wang, 2020, NeurIPS.

Finite-Sample Analysis For Decentralized Batch Multi-Agent Reinforcement Learning With Networked Agents.

Kaiqing Zhang, Zhuoran Yang, Tong Zhang, 2018 .

Provably Efficient Neural GTD for Off-Policy Learning

Mingyi Hong, Zhuoran Yang, Hoi-To Wai, 2020, Neural Information Processing Systems.

Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator pdf

Mladen Kolar, Zhuoran Yang, Zhaoran Wang, 2019, ArXiv.

Dynamic Regret of Policy Optimization in Non-stationary Environments pdf

Qiaomin Xie, Zhuoran Yang, Zhaoran Wang, 2020, NeurIPS.

Single-Timescale Stochastic Nonconvex-Concave Optimization for Smooth Nonlinear TD Learning pdf

Jieping Ye, Xiaohan Wei, Zhuoran Yang, 2020, ArXiv.

Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games

Tamer Basar, Kaiqing Zhang, Zhuoran Yang, 2019, NeurIPS.

Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret pdf

Zhaoran Wang, Qiaomin Xie, Zhuoran Yang, 2020, NeurIPS.

Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy pdf

Han Zhong, Zhaoran Wang, Zhuoran Yang, 2020, ArXiv.

Learning Partially Observable Markov Decision Processes Using Coupled Canonical Polyadic Decomposition

Zhaoran Wang, Mingyi Hong, Kejun Huang, 2019, 2019 IEEE Data Science Workshop (DSW).

Robust One-Bit Recovery via ReLU Generative Networks: Improved Statistical Rates and Global Landscape Analysis pdf

Zhuoran Yang, Shuang Qiu, Xiaohan Wei, 2019, ArXiv.

Neural Certificates for Safe Control Policies pdf

Shaoshuai Mou, Zhuoran Yang, Zhaoran Wang, 2020, ArXiv.

Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization pdf

Mihailo R. Jovanovic, Zhaoran Wang, Zhuoran Yang, 2019, ArXiv.

On Function Approximation in Reinforcement Learning: Optimism in the Face of Large State Spaces

Michael I. Jordan, Chi Jin, Zhuoran Yang, 2020 .

Provably Efficient Exploration in Policy Optimization

Chi Jin, Qi Cai, Zhuoran Yang, 2020, ICML.

A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic pdf

Zhaoran Wang, Mingyi Hong, Zhuoran Yang, 2020, ArXiv.

Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate pdf

Yufeng Zhang, Qi Cai, Zhuoran Yang, 2020, ArXiv.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis

Xiaohan Wei, Zhuoran Yang, Shuang Qiu, 2020, ICML.

Neural Policy Gradient Methods: Global Optimality and Rates of Convergence pdf

Zhaoran Wang, Lingxiao Wang, Zhuoran Yang, 2019, ICLR.

Provably Efficient Reinforcement Learning with Linear Function Approximation pdf

Michael I. Jordan, Zhaoran Wang, Zhuoran Yang, 2019, COLT.

Stochastic Convergence Results for Regularized Actor-Critic Methods pdf

Kaiqing Zhang, Zhuoran Yang, Wesley Suttle, 2019, ArXiv.

On Computation and Generalization of Generative Adversarial Imitation Learning pdf

Tuo Zhao, Yizhou Wang, Xingguo Li, 2020, ICLR.

Optimistic Policy Optimization is Provably Efficient in Non-stationary MDPs pdf

Zhuoran Yang, Zhaoran Wang, Han Zhong, 2021, ArXiv.

Sample Elicitation

Zhaoran Wang, Yang Liu, Zhuoran Yang, 2021, AISTATS.

Reinforcement Learning for Cost-Aware Markov Decision Processes

Ji Liu, Zhuoran Yang, Wesley Suttle, 2021, ICML.

Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning pdf

Luofeng Liao, Zhaoran Wang, Mladen Kolar, 2021, ArXiv.

On Finite-Time Convergence of Actor-Critic Algorithm

Jieping Ye, Zhuoran Yang, Zhaoran Wang, 2021, IEEE Journal on Selected Areas in Information Theory.

Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy pdf

Zhuoran Yang, Zuyue Fu, Zhaoran Wang, 2020, ICLR.

A Unified Off-Policy Evaluation Approach for General Value Function pdf

Yingbin Liang, Zhuoran Yang, Zhaoran Wang, 2021, ArXiv.

Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima pdf

Zhuoran Yang, Hoi-To Wai, Zhaoran Wang, 2021, ArXiv.

Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions

Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, 2022, ICML.

Optimistic Policy Optimization with General Function Approximations

Zhuoran Yang, Zhaoran Wang, Csaba Szepesvári, 2021 .

Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach

Zhuoran Yang, Zhaoran Wang, Yingjie Fei, 2021, ICML.

Provably Sample Efficient Reinforcement Learning in Competitive Linear Quadratic Systems

Zhengyuan Zhou, Zhuoran Yang, Zhaoran Wang, 2021, L4DC.

Learning While Playing in Mean-Field Games: Convergence and Optimality

Qiaomin Xie, Zhuoran Yang, Zhaoran Wang, 2021, ICML.

Provably Efficient Safe Exploration via Primal-Dual Policy Optimization pdf

Xiaohan Wei, Zhaoran Wang, Zhuoran Yang, 2021, AISTATS.

Gap-Dependent Bounds for Two-Player Markov Games pdf

Simon S. Du, Zhuoran Yang, Zhaoran Wang, 2021, AISTATS.

SCORE: Spurious COrrelation REduction for Offline Reinforcement Learning pdf

Chenjia Bai, Zhuoran Yang, Jing Jiang, 2021, ArXiv.

Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games

Zhuoran Yang, Zuyue Fu, Zhaoran Wang, 2021, ICML.

Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport

Zhuoran Yang, Reza Babanezhad, Zhaoran Wang, 2021, ICML.

Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation pdf

Zhihan Liu, Zhuoran Yang, Zuyue Fu, 2021, ArXiv.

Finite-Sample Analysis for Decentralized Batch Multiagent Reinforcement Learning With Networked Agents

Kaiqing Zhang, Zhuoran Yang, Tamer Bacsar, 2018, IEEE Transactions on Automatic Control.

Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning pdf

Zhuoran Yang, Zhaoran Wang, Yudong Chen, 2021, NeurIPS.

Efficient and doubly-robust methods for variable selection and parameter estimation in longitudinal data analysis

Liya Fu, Zhuoran Yang, Fengjing Cai, 2020, Computational Statistics.

A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization pdf

Prashant Khanduri, Zhaoran Wang, Mingyi Hong, 2021, ArXiv.

Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality

Zhaoran Wang, Yingbin Liang, Zhuoran Yang, 2021, ICML.

Generalized estimating equations for analyzing multivariate survival data

Zhuoran Yang, Jun Zhang, Liya Fu, 2019, Commun. Stat. Simul. Comput..

Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time

Zhaoran Wang, Weichen Wang, Zhuoran Yang, 2020, ICML.

Randomized Exploration for Reinforcement Learning with General Value Function Approximation pdf

Doina Precup, Zhuoran Yang, Haque Ishfaq, 2021, ArXiv.

Towards General Function Approximation in Zero-Sum Markov Games pdf

Zhuoran Yang, Zhaoran Wang, Baihe Huang, 2021, ICLR.

On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game pdf

Zhuoran Yang, Zhaoran Wang, Shuang Qiu, 2021, ICML.

A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum

Prashant Khanduri, Mingyi Hong, Zhuoran Yang, 2021, NeurIPS.

Is Pessimism Provably Efficient for Offline RL?

Zhuoran Yang, Zhaoran Wang, Ying Jin, 2020, ICML.

Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning pdf

Zhuoran Yang, Zhaoran Wang, Will Wei Sun, 2021, ArXiv.

A robust and efficient variable selection method for linear regression

Zhuoran Yang, Yunlu Jiang, You-Gan Wang, 2021, Journal of Applied Statistics.

Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case

Zhuoran Yang, Zhaoran Wang, Yufeng Y. Zhang, 2021, AISTATS.

Tensor Methods for Additive Index Models under Discordance and Heterogeneity

Krishnakumar Balasubramanian, Zhuoran Yang, Jianqing Fan, 2018, 1807.06693.

Decentralized Policy Gradient Method for Mean-Field Linear Quadratic Regulator with Global Convergence

Zhaoran Wang, Yuchen Lu, Zhuoran Yang, 2020 .

Neural Policy Gradient Methods: Global Optimality and Rates of Convergence pdf

Zhaoran Wang, Lingxiao Wang, Zhuoran Yang, 2019, ICLR.