Kaiqing Zhang
Kaiqing Zhang
Ph.D. Candidate of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign
Verified email at illinois.edu - Homepage
Cited by
Cited by
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
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, 2019
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
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
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
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
Policy optimization for linear control with robustness guarantee: Implicit regularization and global convergence
K Zhang, B Hu, T Başar
arXiv:1910.09496, 2019
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 (to appear), 2018
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
Communication-efficient distributed reinforcement learning
T Chen, K Zhang, GB Giannakis, T Başar
arXiv preprint arXiv:1812.03239, 2018
Dynamic power distribution system management with a locally connected communication network
K Zhang, W Shi, H Zhu, E Dall'Anese, T Basar
IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2018
Spectrum prediction and channel selection for sensing-based spectrum sharing scheme using online learning techniques
Z Zhang, K Zhang, F Gao, S Zhang
2015 IEEE 26th Annual International Symposium on Personal, Indoor, and …, 2015
Optimal joint bidding and pricing of profit-seeking load serving entity
H Xu, K Zhang, J Zhang
IEEE Transactions on Power Systems 33 (5), 5427-5436, 2018
Dynamic operations and pricing of electric unmanned aerial vehicle systems and power networks
K Zhang, L Lu, C Lei, H Zhu, Y Ouyang
Transportation Research Part C: Emerging Technologies 92, 472-485, 2018
Model-based multi-agent RL in zero-sum Markov games with near-optimal sample complexity
K Zhang, S Kakade, T Başar, L Yang
arXiv preprint arXiv:2007.07461, 2020
Projected stochastic primal-dual method for constrained online learning with kernels
A Koppel, K Zhang, H Zhu, TM Baser
IEEE Transactions on Signal Processing, 2018
Non-cooperative inverse reinforcement learning
X Zhang, K Zhang, E Miehling, T Basar
Advances in Neural Information Processing Systems (NeurIPS), 2019, 9482-9493, 2019
A finite sample analysis of the actor-critic algorithm
Z Yang, K Zhang, M Hong, T Başar
2018 IEEE Conference on Decision and Control (CDC), 2759-2764, 2018
Online planning for decentralized stochastic control with partial history sharing
K Zhang, E Miehling, T Başar
2019 American Control Conference (ACC), 3544-3550, 2019
Distributed learning of average belief over networks using sequential observations
K Zhang, Y Liu, J Liu, M Liu, T Başar
Automatica 115, 108857, 2020
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