AIPlanner, as developed by Gordon Irlam, is a financial planning tool based on deep reinforcement learning. It is designed to assist with retirement planning by making asset allocation, annuitization, and consumption decisions. The tool uses machine learning techniques to handle the complexities of financial planning, including the effects of income taxes, mean-reverting asset classes, time-varying bond yield curves, and uncertain life expectancies.
Gordon Irlam, a semi-retired software engineer with an interest in retirement planning, has developed AIPlanner to provide a modern approach to solving financial planning problems that classical methods struggle with, such as incorporating taxes and mean reversion in stock returns. AIPlanner is described as being able to deliver additional consumption per year for retirees, indicating its potential to optimize retirement income.
AIPlanner is described in a 2018 paper Mr. Irlam published.
- Retirement Income Analysis
- Safe Withdrawal Rate Analysis
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