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1. Multi Agent Reinforcement Learning for Game Theory : Financial Graphs
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : We present the rich research potential at the union of multi agent reinforcement learning (MARL), game theory, and financial graphs. We demonstrate how multiple game theoretic scenarios arise in three node financial graphs with minor modifications. We highlight six scenarios used in this study. READ MORE
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