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Lin et al., 2020 - Google Patents

Feature transformation and simulation of short term price variability in reinforcement learning for portfolio management

Lin et al., 2020

Document ID
8416097549778677657
Author
Lin Y
Blum J
Publication year
Publication venue
2020 Spring Simulation Conference (SpringSim)

External Links

Snippet

Reinforcement learning has been shown capable of learning optimal strategies from imperfect information environments in order to create robust decision support systems. This paper shows that two automatic feature transformation techniques-Bayesian recurrent …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/06Investment, e.g. financial instruments, portfolio management or fund management
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    • G06Q10/00Administration; Management
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    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
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    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/04Exchange, e.g. stocks, commodities, derivatives or currency exchange
    • GPHYSICS
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    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
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    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
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    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism

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