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Multi Agent Systems in Financial Markets

December 6th, 2019

Deep Reinforcement Learning Algorithms have been exhaustively studied in static environments and closed systems. Financial markets bring new challenges being that they are semi-open systems and dynamic environments. How do agents make decisions, specifically when there are several of them acting in the same environment?