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Electronic Colloquium on Computational Complexity

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All reports by Author David Mguni:

TR21-128 | 4th September 2021
Xiaotie Deng, Yuhao Li, David Mguni, Jun Wang, Yaodong Yang

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 (MARL) and sequential agent interactions. In this paper, we introduce the solution concept, approximate Markov Perfect Equilibrium (MPE), to finite-state Stochastic Games repeated ... more >>>

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