Optimizing a financial portfolio using DP

The management of financial portfolios is an activity that aims to combine financial products in a manner that best represents the investor's needs. This requires an overall assessment of various characteristics, such as risk appetite, expected returns, and investor consumption, as well as an estimate of future returns and risk. Dynamic programming (DP) represents a set of algorithms that can be used to calculate an optimal policy given a perfect model of the environment in the form of an MDP. The fundamental idea of DP, as well as reinforcement learning in general, is the use of state values and actions to look for good policies.

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