Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Embracing advanced AI/ML to help investors achieve success: Vanguard
  Reinforcement Learning for Financial Goal Planning   In the world of advice and financial planning, there is seldom one right
answer. While traditional algorithms have been successful in solving linear
problems, its success often depends on choosing the right features from a
dataset, which can be a challenge for nuanced financial planning scenarios.
Reinforcement learning is a machine learning approach that can be employed with
complex data sets where picking the right features can be nearly impossible. In
this paper, we will explore the use of machine learning for financial
forecasting, predicting economic indicators, and creating a savings strategy.
Vanguard ML algorithm for goals-based financial planning is based on deep
reinforcement learning that identifies optimal savings rates across multiple
goals and sources of income to help clients achieve financial success. Vanguard
learning algorithms are trained to identify market indicators and behaviors too
complex to capture with formulas and rules, instead, it works to model the
financial success trajectory of investors and their investment outcomes as a
Markov decision process. We believe that reinforcement learning can be used to
create value for advisors and end-investors, creating efficiency, more
personalized plans, and data to enable customized solutions.

24
The categories of this paper are: dg-ga
36
The categories of this paper are: cmp-lg
19
The categories of this paper are: eess
22
The categories of this paper are: chao-dyn
26
The categories of this paper are: bayes-an
15
The categories of this paper are: nucl-ex
33
The categories of this paper are: plasm-ph
4
The categories of this paper are: cond-mat
28
The categories of this paper are: alg-geom
34
The categories of this paper are: chem-ph
37
The categories of this paper are: supr-con
31
The categories of this paper are: ao-sci
27
The categories of this paper are: comp-gas
12
The categories of this paper are: nucl-th
2
The categories of this paper are: math
6
The categories of this paper are: astro-ph