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Esposito et al., 2017 - Google Patents

Bellman residuals minimization using online support vector machines

Esposito et al., 2017

Document ID
1036735359839760297
Author
Esposito G
Martin M
Publication year
Publication venue
Applied Intelligence

External Links

Snippet

In this paper we present and theoretically study an Approximate Policy Iteration (API) method called API− BRM 𝜖 using a very effective implementation of incremental Support Vector Regression (SVR) to approximate the value function able to generalize …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
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    • G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
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