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2020 – today
- 2023
[j231]Yongqiang Wang, Tamer Basar:
Decentralized nonconvex optimization with guaranteed privacy and accuracy. Autom. 150: 110858 (2023)- [j230]Muhammad Aneeq uz Zaman
, Erik Miehling, Tamer Basar:
Reinforcement Learning for Non-stationary Discrete-Time Linear-Quadratic Mean-Field Games in Multiple Populations. Dyn. Games Appl. 13(1): 118-164 (2023) - [j229]Weichao Mao, Tamer Basar:
Provably Efficient Reinforcement Learning in Decentralized General-Sum Markov Games. Dyn. Games Appl. 13(1): 165-186 (2023) - [j228]Juanjuan Xu, Huanshui Zhang, Tamer Basar:
Decentralized LQG Control With $d$-Step Delayed Information Sharing Pattern. IEEE Trans. Autom. Control. 68(1): 604-611 (2023) - [i145]Xiangyuan Zhang, Bin Hu, Tamer Basar:
Learning the Kalman Filter with Fine-Grained Sample Complexity. CoRR abs/2301.12624 (2023) - [i144]Xiangyuan Zhang, Tamer Basar:
Revisiting LQR Control from the Perspective of Receding-Horizon Policy Gradient. CoRR abs/2302.13144 (2023) - [i143]Shubham Aggarwal, Muhammad Aneeq uz Zaman, Melih Bastopcu, Tamer Basar:
Large Population Games on Constrained Unreliable Networks. CoRR abs/2303.09515 (2023) - 2022
- [j227]Rongping Zhu, Jiaqi Zhang, Keyou You, Tamer Basar:
Asynchronous Networked Aggregative Games. Autom. 136: 110054 (2022) - [j226]Xingyu Sha, Jiaqi Zhang, Keyou You, Kaiqing Zhang, Tamer Basar:
Fully asynchronous policy evaluation in distributed reinforcement learning over networks. Autom. 136: 110092 (2022) - [j225]Jiaqi Zhang, Keyou You, Tamer Basar:
Distributed adaptive Newton methods with global superlinear convergence. Autom. 138: 110156 (2022) - [j224]Sadegh Arefizadeh, Sadjaad Ozgoli, Sadegh Bolouki, Tamer Basar:
Compartmental observability approach for the optimal transparency problem in multi-agent systems. Autom. 143: 110398 (2022) - [j223]Mohamed-Ali Belabbas, Xudong Chen, Tamer Basar:
On the H-Property for Step-Graphons and Edge Polytopes. IEEE Control. Syst. Lett. 6: 1766-1771 (2022) - [j222]Muhammed O. Sayin, Tamer Basar:
Bayesian Persuasion With State-Dependent Quadratic Cost Measures. IEEE Trans. Autom. Control. 67(3): 1241-1252 (2022) - [j221]Xuanyu Cao, Tamer Basar:
Decentralized Online Convex Optimization With Feedback Delays. IEEE Trans. Autom. Control. 67(6): 2889-2904 (2022) - [j220]Wei Xing, Xudong Zhao, Tamer Basar, Weiguo Xia:
Security Investment in Cyber-Physical Systems: Stochastic Games With Asymmetric Information and Resource-Constrained Players. IEEE Trans. Autom. Control. 67(10): 5384-5391 (2022) - [j219]Daniel Owusu Adu, Tamer Basar, Bahman Gharesifard:
Optimal Transport for a Class of Linear Quadratic Differential Games. IEEE Trans. Autom. Control. 67(11): 6287-6294 (2022) - [j218]Jun Moon, Tamer Basar:
Dynamic Programming and a Verification Theorem for the Recursive Stochastic Control Problem of Jump-Diffusion Models With Random Coefficients. IEEE Trans. Autom. Control. 67(12): 6474-6488 (2022) - [j217]Tianyi Chen, Kaiqing Zhang, Georgios B. Giannakis, Tamer Basar:
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning. IEEE Trans. Control. Netw. Syst. 9(2): 917-929 (2022) - [j216]Xuanyu Cao, Tamer Basar:
Distributed Constrained Online Convex Optimization Over Multiple Access Fading Channels. IEEE Trans. Signal Process. 70: 3468-3483 (2022) - [c359]Jorge I. Poveda, Miroslav Krstic, Tamer Basar:
Fixed-Time Seeking and Tracking of Time-Varying Nash Equilibria in Noncooperative Games. ACC 2022: 794-799 - [c358]Shubham Aggarwal, Muhammad Aneeq uz Zaman, Tamer Basar:
Linear Quadratic Mean-Field Games with Communication Constraints. ACC 2022: 1323-1329 - [c357]Dongsheng Ding, Kaiqing Zhang, Tamer Basar, Mihailo R. Jovanovic:
Convergence and optimality of policy gradient primal-dual method for constrained Markov decision processes. ACC 2022: 2851-2856 - [c356]Ciyuan Zhang, Sebin Gracy, Tamer Basar, Philip E. Paré:
Networked Competitive Multi-Virus SIR Model. ACC 2022: 3348 - [c355]Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim, Erik Miehling, Tamer Basar, Matthew West, Prashant G. Mehta:
Modeling Presymptomatic Spread in Epidemics via Mean-Field Games. ACC 2022: 3648-3655 - [c354]Mohamed-Ali Belabbas, Xudong Chen, Tamer Basar:
The H-property of Line Graphons. ASCC 2022: 953-958 - [c353]Xiaoqi Bi, Erik Miehling, Carolyn L. Beck, Tamer Basar:
Approximate Testing in Uncertain Epidemic Processes. CDC 2022: 4339-4344 - [c352]Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim, Erik Miehling, Tamer Basar, Matthew West, Prashant G. Mehta:
How does a Rational Agent Act in an Epidemic? CDC 2022: 5536-5543 - [c351]Haoran Qiu, Weichao Mao, Archit Patke, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer:
SIMPPO: a scalable and incremental online learning framework for serverless resource management. SoCC 2022: 306-322 - [c350]Haoran Qiu, Weichao Mao, Archit Patke, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer:
Reinforcement learning for resource management in multi-tenant serverless platforms. EuroMLSys@EuroSys 2022: 20-28 - [c349]Weichao Mao, Lin Yang, Kaiqing Zhang, Tamer Basar:
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning. ICML 2022: 15007-15049 - [c348]Melih Bastopcu, S. Rasoul Etesami, Tamer Basar:
The Dissemination of Time-Varying Information over Networked Agents with Gossiping. ISIT 2022: 934-939 - [c347]Yong Xiao, Xu Zhang, Yingyu Li, Guangming Shi, Tamer Basar:
Rate-Distortion Theory for Strategic Semantic Communication. ITW 2022: 279-284 - [i142]Melih Bastopcu, S. Rasoul Etesami, Tamer Basar:
The Role of Gossiping for Information Dissemination over Networked Agents. CoRR abs/2201.08365 (2022) - [i141]Shubham Aggarwal, Muhammad Aneeq uz Zaman, Tamer Basar:
Linear Quadratic Mean-Field Games with Communication Constraints. CoRR abs/2203.05686 (2022) - [i140]Ciyuan Zhang, Sebin Gracy, Tamer Basar, Philip E. Pare:
A Networked Competitive Multi-Virus SIR Model: Analysis and Observability. CoRR abs/2204.00708 (2022) - [i139]Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim, Erik Miehling, Tamer Basar, Matthew West, Prashant G. Mehta:
How does a Rational Agent Act in an Epidemic? CoRR abs/2206.02222 (2022) - [i138]Dongsheng Ding, Kaiqing Zhang, Jiali Duan, Tamer Basar, Mihailo R. Jovanovic:
Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs. CoRR abs/2206.02346 (2022) - [i137]Sina Sanjari, Subhonmesh Bose, Tamer Basar:
Incentive Designs for Stackelberg Games with a Large Number of Followers and their Mean-Field Limits. CoRR abs/2207.10611 (2022) - [i136]Sebin Gracy, Philip E. Paré, Ji Liu, Henrik Sandberg, Carolyn L. Beck, Karl Henrik Johansson, Tamer Basar:
Modeling and Analysis of a Coupled SIS Bi-Virus Model. CoRR abs/2207.11414 (2022) - [i135]Yongqiang Wang, Tamer Basar:
Quantization enabled Privacy Protection in Decentralized Stochastic Optimization. CoRR abs/2208.04845 (2022) - [i134]Muhammad Aneeq uz Zaman, Alec Koppel, Sujay Bhatt, Tamer Basar:
Oracle-free Reinforcement Learning in Mean-Field Games along a Single Sample Path. CoRR abs/2208.11639 (2022) - [i133]Yongqiang Wang, Tamer Basar:
Ensuring both Accurate Convergence and Differential Privacy in Nash Equilibrium Seeking on Directed Graphs. CoRR abs/2209.04938 (2022) - [i132]Shubham Aggarwal, Muhammad Aneeq uz Zaman, Melih Bastopcu, Tamer Basar:
Weighted Age of Information based Scheduling for Large Population Games on Networks. CoRR abs/2209.12888 (2022) - [i131]Yongqiang Wang, Tamer Basar:
Gradient-tracking based Distributed Optimization with Guaranteed Optimality under Noisy Information Sharing. CoRR abs/2210.00551 (2022) - [i130]Bin Hu, Kaiqing Zhang, Na Li, Mehran Mesbahi, Maryam Fazel, Tamer Basar:
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies. CoRR abs/2210.04810 (2022) - [i129]Yanli Liu, Kaiqing Zhang, Tamer Basar, Wotao Yin:
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods. CoRR abs/2211.07937 (2022) - [i128]Yongqiang Wang, Tamer Basar:
Decentralized Nonconvex Optimization with Guaranteed Privacy and Accuracy. CoRR abs/2212.07534 (2022) - 2021
- [j215]Philip E. Paré, Ji Liu, Carolyn L. Beck, Angelia Nedic, Tamer Basar:
Multi-competitive viruses over time-varying networks with mutations and human awareness. Autom. 123: 109330 (2021) - [j214]Chunyu Wu, Xudong Zhao, Weiguo Xia, Ji Liu, Tamer Basar:
L2-gain analysis for dynamic event-triggered networked control systems with packet losses and quantization. Autom. 129: 109587 (2021) - [j213]Juanjuan Xu, Huanshui Zhang, Tamer Basar:
Stackelberg solution for a two-agent rational expectations model. Autom. 129: 109601 (2021) - [j212]Xuanyu Cao, Tamer Basar:
Decentralized online convex optimization based on signs of relative states. Autom. 129: 109676 (2021) - [j211]Tamer Basar, Jun Moon:
Zero-sum differential games on the Wasserstein space. Commun. Inf. Syst. 21(2): 219-251 (2021) - [j210]Juntao Chen, Quanyan Zhu, Tamer Basar:
Dynamic Contract Design for Systemic Cyber Risk Management of Interdependent Enterprise Networks. Dyn. Games Appl. 11(2): 294-325 (2021) - [j209]Tamer Basar:
Robust Designs Through Risk Sensitivity: An Overview. J. Syst. Sci. Complex. 34(5): 1634-1665 (2021) - [j208]Utsav Sadana, Puduru Viswanadha Reddy, Tamer Basar, Georges Zaccour:
Sampled-Data Nash Equilibria in Differential Games with Impulse Controls. J. Optim. Theory Appl. 190(3): 999-1022 (2021) - [j207]Tiago Roux Oliveira, Victor Hugo Pereira Rodrigues, Miroslav Krstic, Tamer Basar:
Nash Equilibrium Seeking in Quadratic Noncooperative Games Under Two Delayed Information-Sharing Schemes. J. Optim. Theory Appl. 191(2): 700-735 (2021) - [j206]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) - [j205]Kaiqing Zhang, Bin Hu, Tamer Basar:
Policy Optimization for ℋ2 Linear Control with ℋ∞ Robustness Guarantee: Implicit Regularization and Global Convergence. SIAM J. Control. Optim. 59(6): 4081-4109 (2021) - [j204]Wei Chen, Dan Wang, Ji Liu, Yongxin Chen, Sei Zhen Khong, Tamer Basar, Karl Henrik Johansson, Li Qiu:
On Spectral Properties of Signed Laplacians With Connections to Eventual Positivity. IEEE Trans. Autom. Control. 66(5): 2177-2190 (2021) - [j203]Muhammed O. Sayin, Tamer Basar:
Persuasion-Based Robust Sensor Design Against Attackers With Unknown Control Objectives. IEEE Trans. Autom. Control. 66(10): 4589-4603 (2021) - [j202]Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Basar:
Finite-Sample Analysis for Decentralized Batch Multiagent Reinforcement Learning With Networked Agents. IEEE Trans. Autom. Control. 66(12): 5925-5940 (2021) - [j201]Chen Hou, Qianchuan Zhao, Tamer Basar:
Optimization of Web Service-Based Data-Collection System With Smart Sensor Nodes for Balance Between Network Traffic and Sensing Accuracy. IEEE Trans Autom. Sci. Eng. 18(4): 2022-2034 (2021) - [j200]Philip E. Paré, Ji Liu, Carolyn L. Beck, Barrett E. Kirwan, Tamer Basar:
Erratum to "Analysis, Identification, and Validation of Discrete-Time Epidemic Processes". IEEE Trans. Control. Syst. Technol. 29(2): 934-935 (2021) - [j199]Khaled Alshehri, Ji Liu, Xudong Chen, Tamer Basar:
A Game-Theoretic Framework for Multiperiod-Multicompany Demand Response Management in the Smart Grid. IEEE Trans. Control. Syst. Technol. 29(3): 1019-1034 (2021) - [j198]Qian Ma, Jianwei Huang, Tamer Basar, Ji Liu, Xudong Chen:
Reputation and Pricing Dynamics in Online Markets. IEEE/ACM Trans. Netw. 29(4): 1745-1759 (2021) - [j197]Xuanyu Cao, Tamer Basar:
Decentralized Online Convex Optimization With Event-Triggered Communications. IEEE Trans. Signal Process. 69: 284-299 (2021) - [c346]Songtao Lu, Kaiqing Zhang, Tianyi Chen, Tamer Basar, Lior Horesh:
Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning. AAAI 2021: 8767-8775 - [c345]Tiago Roux Oliveira, Victor Hugo Pereira Rodrigues, Miroslav Krstic, Tamer Basar:
Nash Equilibrium Seeking with Players Acting Through Heat PDE Dynamics. ACC 2021: 684-689 - [c344]Sukru Yagiz Olmez, Jameson Mori, Erik Miehling, Tamer Basar, Rebecca L. Smith, Matthew West, Prashant G. Mehta:
A Data-Informed Approach for Analysis, Validation, and Identification of COVID-19 Models. ACC 2021: 3138-3144 - [c343]Muhammad Aneeq uz Zaman, Sujay Bhatt, Tamer Basar:
Adversarial Linear-Quadratic Mean-Field Games over Multigraphs. CDC 2021: 209-214 - [c342]Feiran Zhao, Keyou You, Tamer Basar:
Infinite-horizon Risk-constrained Linear Quadratic Regulator with Average Cost. CDC 2021: 390-395 - [c341]Tiago Roux Oliveira, Victor Hugo Pereira Rodrigues, Miroslav Krstic, Tamer Basar:
Nash Equilibrium Seeking in Heterogeneous Noncooperative Games with Players Acting Through Heat PDE Dynamics and Delays. CDC 2021: 1167-1173 - [c340]Mathias Hudoba de Badyn, Erik Miehling, Dylan Janak, Behçet Açikmese, Mehran Mesbahi, Tamer Basar, John Lygeros, Roy S. Smith:
Discrete-Time Linear-Quadratic Regulation via Optimal Transport. CDC 2021: 3060-3065 - [c339]Sujay Bhatt, Weichao Mao, Alec Koppel, Tamer Basar:
Semiparametric Information State Embedding for Policy Search under Imperfect Information. CDC 2021: 4501-4506 - [c338]Sina Sanjari, Tamer Basar, Serdar Yüksel:
Policy-Dependent and Policy-Independent Static Reduction of Stochastic Dynamic Teams and Games and Fragility of Equivalence Properties. CDC 2021: 6231-6236 - [c337]Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar:
Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs. ICML 2021: 7447-7458 - [c336]Kaiqing Zhang, Xiangyuan Zhang, Bin Hu, Tamer Basar:
Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity. NeurIPS 2021: 2949-2964 - [c335]Muhammed O. Sayin, Kaiqing Zhang, David S. Leslie, Tamer Basar, Asuman E. Ozdaglar:
Decentralized Q-learning in Zero-sum Markov Games. NeurIPS 2021: 18320-18334 - [i127]Kaiqing Zhang, Xiangyuan Zhang, Bin Hu, Tamer Basar:
Derivative-Free Policy Optimization for Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity. CoRR abs/2101.01041 (2021) - [i126]Sadegh Arefizadeh, Sadjaad Ozgoli, Sadegh Bolouki, Tamer Basar:
Partial Observability Approach for the Optimal Transparency Problem in Multi-agent Systems. CoRR abs/2101.07178 (2021) - [i125]Feiran Zhao, Keyou You, Tamer Basar:
Infinite-horizon Risk-constrained Linear Quadratic Regulator with Average Cost. CoRR abs/2103.15363 (2021) - [i124]Qian Ma, Jianwei Huang, Tamer Basar, Ji Liu, Xudong Chen:
Reputation and Pricing Dynamics in Online Markets. CoRR abs/2103.16100 (2021) - [i123]Feiran Zhao, Keyou You, Tamer Basar:
Global Convergence of Policy Gradient Primal-dual Methods for Risk-constrained LQRs. CoRR abs/2104.04901 (2021) - [i122]Tao Li, Guanze Peng, Quanyan Zhu, Tamer Basar:
The Confluence of Networks, Games and Learning. CoRR abs/2105.08158 (2021) - [i121]Muhammed O. Sayin, Kaiqing Zhang, David S. Leslie, Tamer Basar, Asuman E. Ozdaglar:
Decentralized Q-Learning in Zero-sum Markov Games. CoRR abs/2106.02748 (2021) - [i120]Muhammad Aneeq uz Zaman, Sujay Bhatt, Tamer Basar:
Adversarial Linear-Quadratic Mean-Field Games over Multigraphs. CoRR abs/2109.14461 (2021) - [i119]Weichao Mao, Tamer Basar:
Provably Efficient Reinforcement Learning in Decentralized General-Sum Markov Games. CoRR abs/2110.05682 (2021) - [i118]Weichao Mao, Tamer Basar, Lin F. Yang, Kaiqing Zhang:
Decentralized Cooperative Multi-Agent Reinforcement Learning with Exploration. CoRR abs/2110.05707 (2021) - [i117]Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim, Erik Miehling, Tamer Basar, Matthew West, Prashant G. Mehta:
Modeling Presymptomatic Spread in Epidemics via Mean-Field Games. CoRR abs/2111.10422 (2021) - [i116]Zuguang Gao, Qianqian Ma, Tamer Basar, John R. Birge:
Finite-Sample Analysis of Decentralized Q-Learning for Stochastic Games. CoRR abs/2112.07859 (2021) - [i115]Navjot Singh, Xuanyu Cao, Suhas N. Diggavi, Tamer Basar:
Decentralized Multi-Task Stochastic Optimization With Compressed Communications. CoRR abs/2112.12373 (2021) - 2020
- [j196]Philip E. Paré, Carolyn L. Beck, Tamer Basar:
Modeling, estimation, and analysis of epidemics over networks: An overview. Annu. Rev. Control. 50: 345-360 (2020) - [j195]Kaiqing Zhang, Yang Liu, Ji Liu, Mingyan Liu, Tamer Basar:
Distributed learning of average belief over networks using sequential observations. Autom. 115: 108857 (2020) - [j194]Naci Saldi, Tamer Basar, Maxim Raginsky:
Approximate Markov-Nash Equilibria for Discrete-Time Risk-Sensitive Mean-Field Games. Math. Oper. Res. 45(4): 1596-1620 (2020) - [j193]Kaiqing Zhang, Alec Koppel, Hao Zhu, Tamer Basar:
Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies. SIAM J. Control. Optim. 58(6): 3586-3612 (2020) - [j192]Xudong Chen, Zuguang Gao, Tamer Basar:
Asymptotic Behavior of Conjunctive Boolean Networks Over Weakly Connected Digraphs. IEEE Trans. Autom. Control. 65(6): 2536-2549 (2020) - [j191]Anibal Sanjab, Walid Saad, Tamer Basar:
A Game of Drones: Cyber-Physical Security of Time-Critical UAV Applications With Cumulative Prospect Theory Perceptions and Valuations. IEEE Trans. Commun. 68(11): 6990-7006 (2020) - [j190]Philip E. Paré, Ji Liu, Carolyn L. Beck, Barrett E. Kirwan, Tamer Basar:
Analysis, Estimation, and Validation of Discrete-Time Epidemic Processes. IEEE Trans. Control. Syst. Technol. 28(1): 79-93 (2020) - [j189]Muhammed O. Sayin, Chung-Wei Lin, Eunsuk Kang, Shinichi Shiraishi, Tamer Basar:
Reliable Smart Road Signs. IEEE Trans. Intell. Transp. Syst. 21(12): 4995-5009 (2020) - [j188]Xuanyu Cao, Tamer Basar:
Decentralized Multi-Agent Stochastic Optimization With Pairwise Constraints and Quantized Communications. IEEE Trans. Signal Process. 68: 3296-3311 (2020) - [c334]Xuanyu Cao, Tamer Basar:
Decentralized Multitask Recursive Least Squares with Local Linear Constraints. ACSSC 2020: 1410-1414 - [c333]Muhammad Aneeq uz Zaman, Kaiqing Zhang, Erik Miehling, Tamer Basar:
Approximate Equilibrium Computation for Discrete-Time Linear-Quadratic Mean-Field Games. ACC 2020: 333-339 - [c332]Erik Miehling, Cedric Langbort, Tamer Basar:
Secure Contingency Prediction and Response for Cyber-Physical Systems. CCTA 2020: 998-1003 - [c331]Tiago Roux Oliveira, Victor Hugo Pereira Rodrigues, Miroslav Krstic, Tamer Basar:
Nash Equilibrium Seeking with Arbitrarily Delayed Player Actions. CDC 2020: 150-155 - [c330]Sujay Bhatt, Tamer Basar:
Streisand Games on Complex Social Networks. CDC 2020: 1122-1127 - [c329]Muhammad Aneeq uz Zaman, Kaiqing Zhang, Erik Miehling, Tamer Basar:
Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games. CDC 2020: 2278-2284 - [c328]Jiaqi Zhang, Keyou You, Tamer Basar:
Achieving Globally Superlinear Convergence for Distributed Optimization with Adaptive Newton Method. CDC 2020: 2329-2334 - [c327]Xuanyu Cao, Tamer Basar:
Differentially Private Parameter Estimation: Optimal Noise Insertion and Data Owner Selection. CDC 2020: 2887-2893 - [c326]Jorge I. Poveda, Miroslav Krstic, Tamer Basar:
Fixed-Time Nash Equilibrium Seeking in Non-Cooperative Games. CDC 2020: 3514-3519 - [c325]Weichao Mao, Kaiqing Zhang, Erik Miehling, Tamer Basar:
Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning. CDC 2020: 6124-6131 - [c324]Muhammad Aneeq uz Zaman, Sujay Bhatt, Tamer Basar:
Secure Discrete-Time Linear-Quadratic Mean-Field Games. GameSec 2020: 203-222 - [c323]Tianfu Ma, Juanjuan Xu, Huanshui Zhang, Tamer Basar:
Optimal Control Approach for Rational Expectations Models with Longer Forward-Looking Time. ICARCV 2020: 1041-1048 - [c322]Kaiqing Zhang, Bin Hu, Tamer Basar:
Policy Optimization for H2 Linear Control with H∞ Robustness Guarantee: Implicit Regularization and Global Convergence. L4DC 2020: 179-190 - [c321]Dongsheng Ding, Kaiqing Zhang, Tamer Basar, Mihailo R. Jovanovic:
Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes. NeurIPS 2020 - [c320]Yanli Liu, Kaiqing Zhang, Tamer Basar, Wotao Yin:
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods. NeurIPS 2020 - [c319]Weichao Mao, Kaiqing Zhang, Qiaomin Xie, Tamer Basar:
POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis. NeurIPS 2020 - [c318]Kaiqing Zhang, Bin Hu, Tamer Basar:
On the Stability and Convergence of Robust Adversarial Reinforcement Learning: A Case Study on Linear Quadratic Systems. NeurIPS 2020 - [c317]Kaiqing Zhang, Sham M. Kakade, Tamer Basar, Lin F. Yang:
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity. NeurIPS 2020 - [c316]Kaiqing Zhang, Tao Sun, Yunzhe Tao, Sahika Genc, Sunil Mallya, Tamer Basar:
Robust Multi-Agent Reinforcement Learning with Model Uncertainty. NeurIPS 2020 - [i114]Jiaqi Zhang, Keyou You, Tamer Basar:
Distributed Adaptive Newton Methods with Globally Superlinear Convergence. CoRR abs/2002.07378 (2020)