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In the previous article, we we introduced the MASA framework — a multi-agent system built on a unique integration of interacting agents. Within the MASA architecture, the RL agent, based on reinforcement learning (RL), optimizes the overall return of an investment portfolio. At the same time, an alternative algorithm-based agent attempts to optimize the portfolio proposed by the RL agent, focusing on minimizing potential risks.

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