• Corpus ID: 238408198

Robustness and sample complexity of model-based MARL for general-sum Markov games

@article{Subramanian2021RobustnessAS,
title={Robustness and sample complexity of model-based MARL for general-sum Markov games},
author={Jayakumar Subramanian and Amit Sinha and Aditya Mahajan},
journal={ArXiv},
year={2021},
volume={abs/2110.02355}
}
• Published 5 October 2021
• Computer Science
• ArXiv
Multi-agent reinfocement learning (MARL) is often modeled using the framework of Markov games (also called stochastic games or dynamic games). Most of the existing literature on MARL concentrates on zerosum Markov games but is not applicable to general-sum Markov games. It is known that the best-response dynamics in general-sum Markov games are not a contraction. Therefore, different equilibrium in general-sum Markov games can have different values. Moreover, the Q-function is not sufficient to…
2 Citations

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