Promoting training of multi agent systems
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Yevhen Burov | Vasyl Lytvyn | Victoria Vysotska | Petro Kravets | V. Vysotska | P. Kravets | V. Lytvyn | Y. Burov
[1] Martin L. Puterman,et al. Markov Decision Processes: Discrete Stochastic Dynamic Programming , 1994 .
[2] Andrew Kloosterman. Cooperation in stochastic games: a prisoner’s dilemma experiment , 2020, Experimental Economics.
[3] Nataliia Kunanets,et al. Game Method of Event Synchronization in Multi-agent Systems , 2019 .
[4] Paul Scerri,et al. Coordination of Large-Scale Multiagent Systems , 2005 .
[5] H. Kushner,et al. Stochastic Approximation and Recursive Algorithms and Applications , 2003 .
[6] Yuichi Yamamoto,et al. Stochastic Games with Hidden States , 2018 .
[7] Bor-Sen Chen,et al. Stochastic Game Strategies and Their Applications , 2019 .
[8] S. K. Neogy,et al. Mathematical Programming and Game Theory , 2018 .
[9] Iyad Abu Doush,et al. Multi-Agent Systems - Modeling, Control, Programming, Simulations and Applications , 2011 .
[10] Marek Kisiel-Dorohinicki,et al. Evolutionary Multi-Agent Systems - From Inspirations to Applications , 2017, Studies in Computational Intelligence.
[11] Quddus Chong,et al. Multi-agent systems support for Community-Based Learning , 2003, Interact. Comput..
[12] Michael P. Wellman,et al. Nash Q-Learning for General-Sum Stochastic Games , 2003, J. Mach. Learn. Res..
[13] Petro Kravets,et al. The control agent with fuzzy logic , 2010, 2010 Proceedings of VIth International Conference on Perspective Technologies and Methods in MEMS Design.
[14] Jeffrey S. Rosenschein,et al. Best-response multiagent learning in non-stationary environments , 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..
[15] Dong Shen,et al. Iterative Learning Control for Multi-agent Systems Coordination , 2017 .
[16] D. Lozovanu. Pure and Mixed Stationary Nash Equilibria for Average Stochastic Positional Games , 2019, Static & Dynamic Game Theory: Foundations & Applications.
[17] Fengqi You,et al. A stochastic game theoretic framework for decentralized optimization of multi-stakeholder supply chains under uncertainty , 2019, Comput. Chem. Eng..
[18] Maxim Raginsky,et al. Approximate Nash Equilibria in Partially Observed Stochastic Games with Mean-Field Interactions , 2017, Math. Oper. Res..
[19] Keith B. Hall,et al. Correlated Q-Learning , 2003, ICML.
[20] Yevhen Burov,et al. Gaming Method of Ontology Clusterization , 2019, Webology.
[21] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[22] Michael Ummels,et al. Stochastic multiplayer games: theory and algorithms , 2010 .
[23] Zhiyong Sun,et al. Cooperative Coordination and Formation Control for Multi-agent Systems , 2018 .
[24] Andrew W. Moore,et al. Reinforcement Learning: A Survey , 1996, J. Artif. Intell. Res..
[25] Stephen C. Adams,et al. Multi-agent Inverse Reinforcement Learning for Certain General-sum Stochastic Games , 2019, J. Artif. Intell. Res..
[26] THE METHODOLOGY OF MULTI-AGENT SYSTEMS: A MODERN STATE AND FUTURE TRENDS , 2013 .
[27] D. Fudenberg,et al. The Theory of Learning in Games , 1998 .
[28] Yueming Cai,et al. Dynamic Computation Offloading for Mobile Cloud Computing: A Stochastic Game-Theoretic Approach , 2019, IEEE Transactions on Mobile Computing.
[29] Vandana Gupta,et al. Modeling cyber-physical attacks based on stochastic game and Markov processes , 2019, Reliab. Eng. Syst. Saf..
[30] Peter Dayan,et al. Q-learning , 1992, Machine Learning.
[31] Valeriu Ungureanu. Pareto-Nash-Stackelberg Game and Control Theory: Intelligent Paradigms and Applications , 2018 .
[32] Agostino Poggi,et al. Multiagent Systems , 2006, Intelligenza Artificiale.
[33] Tristan Garrec. Communicating zero-sum product stochastic games , 2017, Journal of Mathematical Analysis and Applications.