Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDZhuoran Yang
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
[j8]Liya Fu, Zhuoran Yang, Fengjing Cai, You-Gan Wang
:
Efficient and doubly-robust methods for variable selection and parameter estimation in longitudinal data analysis. Comput. Stat. 36(2): 781-804 (2021)- [j7]Shuang Qiu, Zhuoran Yang, Jieping Ye, Zhaoran Wang:
On Finite-Time Convergence of Actor-Critic Algorithm. IEEE J. Sel. Areas Inf. Theory 2(2): 652-664 (2021) - [j6]Kaiqing Zhang, Zhuoran Yang, Tamer Basar:
Decentralized multi-agent reinforcement learning with networked agents: recent advances. Frontiers Inf. Technol. Electron. Eng. 22(6): 802-814 (2021) - [c59]Jiaheng Wei, Zuyue Fu, Yang Liu, Xingyu Li, Zhuoran Yang, Zhaoran Wang:
Sample Elicitation. AISTATS 2021: 2692-2700 - [c58]Yufeng Y. Zhang, Zhuoran Yang, Zhaoran Wang:
Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case. AISTATS 2021: 2764-2772 - [c57]Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic:
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization. AISTATS 2021: 3304-3312 - [c56]Zuyue Fu, Zhuoran Yang, Zhaoran Wang:
Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy. ICLR 2021 - [c55]Yingjie Fei, Zhuoran Yang, Zhaoran Wang:
Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach. ICML 2021: 3198-3207 - [c54]Hongyi Guo, Zuyue Fu, Zhuoran Yang, Zhaoran Wang:
Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games. ICML 2021: 3899-3909 - [c53]Haque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup, Lin Yang:
Randomized Exploration in Reinforcement Learning with General Value Function Approximation. ICML 2021: 4607-4616 - [c52]Ying Jin, Zhuoran Yang, Zhaoran Wang:
Is Pessimism Provably Efficient for Offline RL? ICML 2021: 5084-5096 - [c51]Lewis Liu, Yufeng Zhang, Zhuoran Yang, Reza Babanezhad, Zhaoran Wang:
Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport. ICML 2021: 7033-7044 - [c50]Shuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang:
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions. ICML 2021: 8715-8725 - [c49]Shuang Qiu, Jieping Ye, Zhaoran Wang, Zhuoran Yang:
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game. ICML 2021: 8737-8747 - [c48]Wesley Suttle, Kaiqing Zhang, Zhuoran Yang, Ji Liu, David Kraemer:
Reinforcement Learning for Cost-Aware Markov Decision Processes. ICML 2021: 9989-9999 - [c47]Weichen Wang, Jiequn Han, Zhuoran Yang, Zhaoran Wang:
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time. ICML 2021: 10772-10782 - [c46]Qiaomin Xie, Zhuoran Yang, Zhaoran Wang, Andreea Minca:
Learning While Playing in Mean-Field Games: Convergence and Optimality. ICML 2021: 11436-11447 - [c45]Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang:
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality. ICML 2021: 11581-11591 - [c44]Jingwei Zhang, Zhuoran Yang, Zhengyuan Zhou, Zhaoran Wang:
Provably Sample Efficient Reinforcement Learning in Competitive Linear Quadratic Systems. L4DC 2021: 597-598 - [i65]Prashant Khanduri, Siliang Zeng, Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang:
A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization. CoRR abs/2102.07367 (2021) - [i64]Luofeng Liao, Zuyue Fu, Zhuoran Yang, Mladen Kolar, Zhaoran Wang:
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning. CoRR abs/2102.09907 (2021) - [i63]Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang:
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality. CoRR abs/2102.11866 (2021) - [i62]Haque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup, Lin F. Yang:
Randomized Exploration for Reinforcement Learning with General Value Function Approximation. CoRR abs/2106.07841 (2021) - [i61]Zehao Dou, Zhuoran Yang, Zhaoran Wang, Simon S. Du:
Gap-Dependent Bounds for Two-Player Markov Games. CoRR abs/2107.00685 (2021) - [i60]Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang:
A Unified Off-Policy Evaluation Approach for General Value Function. CoRR abs/2107.02711 (2021) - [i59]Baihe Huang, Jason D. Lee, Zhaoran Wang, Zhuoran Yang:
Towards General Function Approximation in Zero-Sum Markov Games. CoRR abs/2107.14702 (2021) - [i58]Pratik Ramprasad, Yuantong Li, Zhuoran Yang, Zhaoran Wang, Will Wei Sun, Guang Cheng:
Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning. CoRR abs/2108.03706 (2021) - [i57]Zhihan Liu, Yufeng Zhang, Zuyue Fu, Zhuoran Yang, Zhaoran Wang:
Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation. CoRR abs/2108.08765 (2021) - [i56]Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Marco Nie, Zhaoran Wang:
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima. CoRR abs/2110.01212 (2021) - [i55]Han Zhong, Zhuoran Yang, Zhaoran Wang, Csaba Szepesvári:
Optimistic Policy Optimization is Provably Efficient in Non-stationary MDPs. CoRR abs/2110.08984 (2021) - [i54]Shuang Qiu, Jieping Ye, Zhaoran Wang, Zhuoran Yang:
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game. CoRR abs/2110.09771 (2021) - 2020
- [j5]Yubo Zhang, Zhuoran Yang, Jiuchun Yang, Yuanyuan Yang, Dongyan Wang, Yucong Zhang, Fengqin Yan, Lingxue Yu, Liping Chang, Shuwen Zhang:
A Novel Model Integrating Deep Learning for Land Use/Cover Change Reconstruction: A Case Study of Zhenlai County, Northeast China. Remote. Sens. 12(20): 3314 (2020) - [c43]Chi Jin, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan:
Provably efficient reinforcement learning with linear function approximation. COLT 2020: 2137-2143 - [c42]Qiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang:
Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium. COLT 2020: 3674-3682 - [c41]Minshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang, Tuo Zhao:
On Computation and Generalization of Generative Adversarial Imitation Learning. ICLR 2020 - [c40]Zuyue Fu, Zhuoran Yang, Yongxin Chen, Zhaoran Wang:
Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games. ICLR 2020 - [c39]Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang:
Neural Policy Gradient Methods: Global Optimality and Rates of Convergence. ICLR 2020 - [c38]Qi Cai, Zhuoran Yang, Chi Jin, Zhaoran Wang:
Provably Efficient Exploration in Policy Optimization. ICML 2020: 1283-1294 - [c37]Sen Na, Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar:
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees. ICML 2020: 7141-7152 - [c36]Shuang Qiu, Xiaohan Wei, Zhuoran Yang:
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis. ICML 2020: 7857-7866 - [c35]Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang:
On the Global Optimality of Model-Agnostic Meta-Learning. ICML 2020: 9837-9846 - [c34]Lingxiao Wang, Zhuoran Yang, Zhaoran Wang:
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning. ICML 2020: 10092-10103 - [c33]Yufeng Zhang, Qi Cai, Zhuoran Yang, Zhaoran Wang:
Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate. ICML 2020: 11044-11054 - [c32]Jianqing Fan, Zhaoran Wang, Yuchen Xie, Zhuoran Yang:
A Theoretical Analysis of Deep Q-Learning. L4DC 2020: 486-489 - [c31]Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang, Qiaomin Xie:
Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret. NeurIPS 2020 - [c30]Yingjie Fei, Zhuoran Yang, Zhaoran Wang, Qiaomin Xie:
Dynamic Regret of Policy Optimization in Non-Stationary Environments. NeurIPS 2020 - [c29]Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou:
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework. NeurIPS 2020 - [c28]Luofeng Liao, You-Lin Chen, Zhuoran Yang, Bo Dai, Mladen Kolar, Zhaoran Wang:
Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach. NeurIPS 2020 - [c27]Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang:
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss. NeurIPS 2020 - [c26]Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong:
Provably Efficient Neural GTD for Off-Policy Learning. NeurIPS 2020 - [c25]Zhuoran Yang, Chi Jin, Zhaoran Wang, Mengdi Wang, Michael I. Jordan:
Provably Efficient Reinforcement Learning with Kernel and Neural Function Approximations. NeurIPS 2020 - [c24]Yufeng Zhang, Qi Cai, Zhuoran Yang, Yongxin Chen, Zhaoran Wang:
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory. NeurIPS 2020 - [i53]Minshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang, Tuo Zhao:
On Computation and Generalization of Generative Adversarial Imitation Learning. CoRR abs/2001.02792 (2020) - [i52]Qiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang:
Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium. CoRR abs/2002.07066 (2020) - [i51]Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic:
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization. CoRR abs/2003.00534 (2020) - [i50]Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang:
Upper Confidence Primal-Dual Optimization: Stochastically Constrained Markov Decision Processes with Adversarial Losses and Unknown Transitions. CoRR abs/2003.00660 (2020) - [i49]Sen Na, Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar:
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees. CoRR abs/2003.01013 (2020) - [i48]Yufeng Zhang, Qi Cai, Zhuoran Yang, Zhaoran Wang:
Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate. CoRR abs/2003.03709 (2020) - [i47]Yufeng Zhang, Qi Cai, Zhuoran Yang, Yongxin Chen, Zhaoran Wang:
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory. CoRR abs/2006.04761 (2020) - [i46]Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou:
Neural Certificates for Safe Control Policies. CoRR abs/2006.08465 (2020) - [i45]Lingxiao Wang, Zhuoran Yang, Zhaoran Wang:
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning. CoRR abs/2006.11917 (2020) - [i44]Lingxiao Wang, Zhuoran Yang, Zhaoran Wang:
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data. CoRR abs/2006.12311 (2020) - [i43]Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang:
On the Global Optimality of Model-Agnostic Meta-Learning. CoRR abs/2006.13182 (2020) - [i42]Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang, Qiaomin Xie:
Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret. CoRR abs/2006.13827 (2020) - [i41]Yingjie Fei, Zhuoran Yang, Zhaoran Wang, Qiaomin Xie:
Dynamic Regret of Policy Optimization in Non-stationary Environments. CoRR abs/2007.00148 (2020) - [i40]Luofeng Liao, You-Lin Chen, Zhuoran Yang, Bo Dai, Zhaoran Wang, Mladen Kolar:
Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach. CoRR abs/2007.01290 (2020) - [i39]Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang:
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic. CoRR abs/2007.05170 (2020) - [i38]Jianqing Fan, Zhuoran Yang, Mengxin Yu:
Understanding Implicit Regularization in Over-Parameterized Nonlinear Statistical Model. CoRR abs/2007.08322 (2020) - [i37]Zuyue Fu, Zhuoran Yang, Zhaoran Wang:
Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy. CoRR abs/2008.00483 (2020) - [i36]Shuang Qiu, Zhuoran Yang, Xiaohan Wei, Jieping Ye, Zhaoran Wang:
Single-Timescale Stochastic Nonconvex-Concave Optimization for Smooth Nonlinear TD Learning. CoRR abs/2008.10103 (2020) - [i35]Qiaomin Xie, Zhuoran Yang, Zhaoran Wang, Andreea Minca:
Provable Fictitious Play for General Mean-Field Games. CoRR abs/2010.04211 (2020) - [i34]Zhuoran Yang, Chi Jin, Zhaoran Wang, Mengdi Wang, Michael I. Jordan:
Bridging Exploration and General Function Approximation in Reinforcement Learning: Provably Efficient Kernel and Neural Value Iterations. CoRR abs/2011.04622 (2020) - [i33]Zhuoran Yang, Yufeng Zhang, Yongxin Chen, Zhaoran Wang:
Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization. CoRR abs/2012.11554 (2020) - [i32]Han Zhong, Ethan X. Fang, Zhuoran Yang, Zhaoran Wang:
Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy. CoRR abs/2012.14098 (2020) - [i31]Ying Jin, Zhuoran Yang, Zhaoran Wang:
Is Pessimism Provably Efficient for Offline RL? CoRR abs/2012.15085 (2020)
2010 – 2019
- 2019
- [j4]Zhonglei Li, Zhuoran Yang, Boxue Du:
Surface Charge Transport Characteristics of ZnO/Silicone Rubber Composites Under Impulse Superimposed on DC Voltage. IEEE Access 7: 3008-3017 (2019) - [j3]Sen Na, Zhuoran Yang, Zhaoran Wang, Mladen Kolar:
High-dimensional Varying Index Coefficient Models via Stein's Identity. J. Mach. Learn. Res. 20: 152:1-152:44 (2019) - [j2]Zhuoran Yang, Lin F. Yang, Ethan X. Fang, Tuo Zhao, Zhaoran Wang, Matey Neykov:
Misspecified nonconvex statistical optimization for sparse phase retrieval. Math. Program. 176(1-2): 545-571 (2019) - [c23]Wei Zhao, Yuanyuan Sun, Zhuoran Yang, Haozhen Li:
Design of Single Channel Speech Separation System Based on Deep Clustering Model. ICIS 2019: 399-402 - [c22]Yixuan Lin, Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang, Tamer Basar, Romeil Sandhu, Ji Liu:
A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning. CDC 2019: 5562-5567 - [c21]Kejun Huang, Zhuoran Yang, Zhaoran Wang, Mingyi Hong:
Learning Partially Observable Markov Decision Processes Using Coupled Canonical Polyadic Decomposition. DSW 2019: 295-299 - [c20]Xiaohan Wei, Zhuoran Yang, Zhaoran Wang:
On the statistical rate of nonlinear recovery in generative models with heavy-tailed data. ICML 2019: 6697-6706 - [c19]Ming Yu, Zhuoran Yang, Mladen Kolar, Zhaoran Wang:
Convergent Policy Optimization for Safe Reinforcement Learning. NeurIPS 2019: 3121-3133 - [c18]Hoi-To Wai, Mingyi Hong, Zhuoran Yang, Zhaoran Wang, Kexin Tang:
Variance Reduced Policy Evaluation with Smooth Function Approximation. NeurIPS 2019: 5776-5787 - [c17]Zhuoran Yang, Yongxin Chen, Mingyi Hong, Zhaoran Wang:
Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost. NeurIPS 2019: 8351-8363 - [c16]Lingxiao Wang, Zhuoran Yang, Zhaoran Wang:
Statistical-Computational Tradeoff in Single Index Models. NeurIPS 2019: 10419-10426 - [c15]Boyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang:
Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy. NeurIPS 2019: 10564-10575 - [c14]Qi Cai, Zhuoran Yang, Jason D. Lee, Zhaoran Wang:
Neural Temporal-Difference Learning Converges to Global Optima. NeurIPS 2019: 11312-11322 - [c13]Kaiqing Zhang, Zhuoran Yang, Tamer Basar:
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games. NeurIPS 2019: 11598-11610 - [i30]Zhuoran Yang, Yuchen Xie, Zhaoran Wang:
A Theoretical Analysis of Deep Q-Learning. CoRR abs/1901.00137 (2019) - [i29]Wesley Suttle, Zhuoran Yang, Kaiqing Zhang, Zhaoran Wang, Tamer Basar, Ji Liu:
A Multi-Agent Off-Policy Actor-Critic Algorithm for Distributed Reinforcement Learning. CoRR abs/1903.06372 (2019) - [i28]Qi Cai, Zhuoran Yang, Jason D. Lee, Zhaoran Wang:
Neural Temporal-Difference Learning Converges to Global Optima. CoRR abs/1905.10027 (2019) - [i27]Kaiqing Zhang, Zhuoran Yang, Tamer Basar:
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games. CoRR abs/1906.00729 (2019) - [i26]Boyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang:
Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy. CoRR abs/1906.10306 (2019) - [i25]Yixuan Lin, Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang, Tamer Basar, Romeil Sandhu, Ji Liu:
A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning. CoRR abs/1907.03053 (2019) - [i24]Chi Jin, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan:
Provably Efficient Reinforcement Learning with Linear Function Approximation. CoRR abs/1907.05388 (2019) - [i23]Wesley Suttle, Zhuoran Yang, Kaiqing Zhang, Ji Liu:
Stochastic Convergence Results for Regularized Actor-Critic Methods. CoRR abs/1907.06138 (2019) - [i22]Zhuoran Yang, Yongxin Chen, Mingyi Hong, Zhaoran Wang:
On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost. CoRR abs/1907.06246 (2019) - [i21]Xinyang Yi, Zhaoran Wang, Zhuoran Yang, Constantine Caramanis, Han Liu:
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning. CoRR abs/1907.06257 (2019) - [i20]Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic:
Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization. CoRR abs/1908.02805 (2019) - [i19]Shuang Qiu, Xiaohan Wei, Zhuoran Yang:
Robust One-Bit Recovery via ReLU Generative Networks: Improved Statistical Rates and Global Landscape Analysis. CoRR abs/1908.05368 (2019) - [i18]Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang:
Neural Policy Gradient Methods: Global Optimality and Rates of Convergence. CoRR abs/1909.01150 (2019) - [i17]Yang Liu, Zuyue Fu, Zhuoran Yang, Zhaoran Wang:
Credible Sample Elicitation by Deep Learning, for Deep Learning. CoRR abs/1910.03155 (2019) - [i16]Zuyue Fu, Zhuoran Yang, Yongxin Chen, Zhaoran Wang:
Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games. CoRR abs/1910.07498 (2019) - [i15]Ming Yu, Zhuoran Yang, Mladen Kolar, Zhaoran Wang:
Convergent Policy Optimization for Safe Reinforcement Learning. CoRR abs/1910.12156 (2019) - [i14]Kaiqing Zhang, Zhuoran Yang, Tamer Basar:
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms. CoRR abs/1911.10635 (2019) - [i13]Kaiqing Zhang, Zhuoran Yang, Tamer Basar:
Decentralized Multi-Agent Reinforcement Learning with Networked Agents: Recent Advances. CoRR abs/1912.03821 (2019) - [i12]Qi Cai, Zhuoran Yang, Chi Jin, Zhaoran Wang:
Provably Efficient Exploration in Policy Optimization. CoRR abs/1912.05830 (2019) - [i11]Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar:
Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator. CoRR abs/1912.06875 (2019) - [i10]Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou:
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework. CoRR abs/1912.12970 (2019) - 2018
- [j1]Zhuoran Yang, Yang Ning, Han Liu:
On Semiparametric Exponential Family Graphical Models. J. Mach. Learn. Res. 19: 57:1-57:59 (2018) - [c12]Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang:
Nonlinear Structured Signal Estimation in High Dimensions via Iterative Hard Thresholding. AISTATS 2018: 258-268 - [c11]Zhuoran Yang, Kaiqing Zhang, Mingyi Hong, Tamer Basar:
A Finite Sample Analysis of the Actor-Critic Algorithm. CDC 2018: 2759-2764 - [c10]Kaiqing Zhang, Zhuoran Yang, Tamer Basar:
Networked Multi-Agent Reinforcement Learning in Continuous Spaces. CDC 2018: 2771-2776 - [c9]Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Basar:
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents. ICML 2018: 5867-5876 - [c8]Ming Yu, Zhuoran Yang, Tuo Zhao, Mladen Kolar, Zhaoran Wang:
Provable Gaussian Embedding with One Observation. NeurIPS 2018: 6765-6775 - [c7]Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong:
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization. NeurIPS 2018: 9672-9683 - [c6]Yi Chen, Zhuoran Yang, Yuchen Xie, Zhaoran Wang:
Contrastive Learning from Pairwise Measurements. NeurIPS 2018: 10932-10941 - [i9]Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Basar:
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents. CoRR abs/1802.08757 (2018) - [i8]Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong:
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization. CoRR abs/1806.00877 (2018) - [i7]Jianqing Fan, Han Liu, Zhaoran Wang, Zhuoran Yang:
Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval. CoRR abs/1808.06996 (2018) - [i6]Jiechao Xiong, Qing Wang, Zhuoran Yang, Peng Sun, Lei Han, Yang Zheng, Haobo Fu, Tong Zhang, Ji Liu, Han Liu:
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space. CoRR abs/1810.06394 (2018) - [i5]Sen Na, Zhuoran Yang, Zhaoran Wang, Mladen Kolar:
High-dimensional Varying Index Coefficient Models via Stein's Identity. CoRR abs/1810.07128 (2018) - [i4]Ming Yu, Zhuoran Yang, Tuo Zhao, Mladen Kolar, Zhaoran Wang:
Provable Gaussian Embedding with One Observation. CoRR abs/1810.11098 (2018) - [i3]Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Basar:
Finite-Sample Analyses for Fully Decentralized Multi-Agent Reinforcement Learning. CoRR abs/1812.02783 (2018) - 2017
- [c5]Zhuoran Yang, Krishnakumar Balasubramanian, Han Liu:
High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation. ICML 2017: 3851-3860 - [c4]Zhuoran Yang, Krishnakumar Balasubramanian, Zhaoran Wang, Han Liu:
Estimating High-dimensional Non-Gaussian Multiple Index Models via Stein's Lemma. NIPS 2017: 6097-6106