Kaiqing Zhang

Citirano

	Sve	Od 2019.
Citati	5404	5306
H-indeks	31	31
i10-indeks	49	48

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2017201820192020202120222023202423 62 168 389 744 1084 1516 1393

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Suautori

Tamer BaşarSwanlund Endowed Chair Emeritus & CAS Professor Emeritus of ECE, University of IllinoisPotvrđena adresa e-pošte na illinois.edu
Zhuoran YangYale UniversityPotvrđena adresa e-pošte na yale.edu
Hao ZhuAssociate Professor of ECEPotvrđena adresa e-pošte na utexas.edu
Asuman OzdaglarMathworks Professor, EECS, MITPotvrđena adresa e-pošte na mit.edu
Russ TedrakeMIT (EECS, MechE, Aero/Astro) and Toyota Research InstitutePotvrđena adresa e-pošte na mit.edu
Tong ZhangUIUCPotvrđena adresa e-pošte na tongzhang-ml.org
Max SimchowitzMITPotvrđena adresa e-pošte na andrew.cmu.edu
Mihailo R. JovanovicProfessor of Electrical and Computer Engineering, University of Southern CaliforniaPotvrđena adresa e-pošte na usc.edu
Sham M KakadeHarvard UniversityPotvrđena adresa e-pošte na seas.harvard.edu
Chen-Yu WeiAssistant Professor, University of VirginiaPotvrđena adresa e-pošte na virginia.edu
H.J. Terry SuhMassachusetts Institute of TechnologyPotvrđena adresa e-pošte na mit.edu
Chuchu FanAssociate Professor of Aeronautics and Astronautics at MITPotvrđena adresa e-pošte na mit.edu
Chanwoo ParkMITPotvrđena adresa e-pošte na mit.edu
Wotao YinDAMO Academy, Alibaba Group USPotvrđena adresa e-pošte na alibaba-inc.com
Mingyang LiuMITPotvrđena adresa e-pošte na mit.edu
Wei (Wilbur) ShiPostdoctoral Research Associate, Princeton UniversityPotvrđena adresa e-pošte na princeton.edu
Noah GolowichMITPotvrđena adresa e-pošte na mit.edu
Constantinos DaskalakisProfessor of Computer Science, MITPotvrđena adresa e-pošte na csail.mit.edu
Maryam FazelMoorthy Family Professor of Electrical and Computer Engineering, University of WashingtonPotvrđena adresa e-pošte na uw.edu
Na LiWinokur Family Professor of Electrical Engineering and Applied Mathematics, HarvardPotvrđena adresa e-pošte na seas.harvard.edu

Prati

Kaiqing Zhang

Assistant Professor, University of Maryland, College Park

Potvrđena adresa e-pošte na umd.edu - Početna stranica

Control Machine Learning Game Theory Reinforcement Learning Robotics


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Multi-agent reinforcement learning: A selective overview of theories and algorithms K Zhang, Z Yang, T Başar Studies in Systems, Decision and Control, Handbook on RL and Control, 2021	1565	2021
Fully decentralized multi-agent reinforcement learning with networked agents K Zhang, Z Yang, H Liu, T Zhang, T Başar International Conference on Machine Learning (ICML), 2018	688	2018
Global convergence of policy gradient methods to (almost) locally optimal policies K Zhang, A Koppel, H Zhu, T Başar SIAM Journal on Control and Optimization (SICON), 2019	224*	2019
Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs D Ding, K Zhang, J Duan, T Başar, MR Jovanović arXiv preprint arXiv:2206.02346, 2022	209*	2022
Policy optimization for linear control with robustness guarantee: Implicit regularization and global convergence K Zhang, B Hu, T Başar SIAM Journal on Control and Optimization (SICON), 2021	171*	2021
Model-based multi-agent RL in zero-sum Markov games with near-optimal sample complexity K Zhang, SM Kakade, T Basar, LF Yang Journal of Machine Learning Research 24 (175), 1-53, 2023	148	2023
Policy optimization provably converges to Nash equilibria in zero-sum linear quadratic games K Zhang, Z Yang, T Basar Advances in Neural Information Processing Systems, 11602-11614, 2019	143	2019
Learning safe multi-agent control with decentralized neural barrier certificates Z Qin, K Zhang, Y Chen, J Chen, C Fan International Conference on Learning Representations (ICLR), 2021	131	2021
Communication-efficient policy gradient methods for distributed reinforcement learning T Chen, K Zhang, GB Giannakis, T Başar IEEE Transactions on Control of Network Systems, 2018	118*	2018
Networked multi-agent reinforcement learning in continuous spaces K Zhang, Z Yang, T Basar 2018 IEEE Conference on Decision and Control (CDC), 2771-2776, 2018	117	2018
An improved analysis of (variance-reduced) policy gradient and natural policy gradient methods Y Liu, K Zhang, T Basar, W Yin Advances in Neural Information Processing Systems 33, 2020	112	2020
A multi-agent off-policy actor-critic algorithm for distributed reinforcement learning W Suttle, Z Yang, K Zhang, Z Wang, T Başar, J Liu IFAC-PapersOnLine 53 (2), 1549-1554, 2020	108*	2020
Decentralized Q-Learning in zero-sum Markov games MO Sayin, K Zhang, DS Leslie, T Basar, A Ozdaglar Advances in Neural Information Processing Systems 34, 2021	104	2021
Dependency analysis and improved parameter estimation for dynamic composite load modeling K Zhang, H Zhu, S Guo IEEE Transactions on Power Systems 32 (4), 3287-3297, 2016	104	2016
Finite-sample analysis for decentralized batch multi-agent reinforcement learning with networked agents K Zhang, Z Yang, H Liu, T Zhang, T Başar IEEE Transactions on Automatic Control, 2018	103*	2018
Robust multi-agent reinforcement learning with model uncertainty K Zhang, T Sun, Y Tao, S Genc, S Mallya, T Basar Advances in Neural Information Processing Systems 33, 2020	91	2020
Do differentiable simulators give better policy gradients? HJ Suh, M Simchowitz, K Zhang, R Tedrake International Conference on Machine Learning 162, 20668-20696, 2022	87	2022
Consumption behavior analytics-aided energy forecasting and dispatch Y Zhang, R Yang, K Zhang, H Jiang, JJ Zhang IEEE Intelligent Systems 32 (4), 59-63, 2017	77*	2017
Independent policy gradient for large-scale Markov potential games: Sharper rates, function approximation, and game-agnostic convergence D Ding, CY Wei, K Zhang, MR Jovanović International Conference on Machine Learning 162, 5166-5220, 2022	76	2022
The complexity of Markov equilibrium in stochastic games C Daskalakis, N Golowich, K Zhang The Thirty Sixth Annual Conference on Learning Theory, 4180-4234, 2023	71	2023

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