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On the complexity of computing Markov perfect equilibrium in general-sum stochastic games
Similar to the role of Markov decision processes in reinforcement learning, Markov games (also called stochastic games) lay down the foundation for the study of multi-agent reinforcement learning and sequential agent interactions. We introduce approximate Markov perfect equilibrium as a solution to...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843164/ https://www.ncbi.nlm.nih.gov/pubmed/36684520 http://dx.doi.org/10.1093/nsr/nwac256 |