MSPM: A modularized and scalable multi-agent reinforcement learning-based system for financial portfolio management
Financial portfolio management (PM) is one of the most applicable problems in reinforcement learning (RL) owing to its sequential decision-making nature.However, existing RL-based approaches rarely focus on scalability or reusability to adapt to the ever-changing markets.These approaches are rigid and unscalable to accommodate the varying number of