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Multi-agent learning methods with reinforcement using game theory algorithms
Authors: Bolshakov V.E. | Published: 26.11.2020 |
Published in issue: #11(52)/2020 | |
DOI: DOI: 10.18698/2541-8009-2020-11-652 | |
Category: Informatics, Computer Engineering and Control | Chapter: System Analysis, Control, and Information Processing, Statistics | |
Keywords: deep learning, game theory, multi-agent reinforcement learning, Nash equilibrium, neural networks, stochastic games, StarCraft II, equilibrium search, matrix games |