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VALUE FUNCTION

  • Value function
  • Maximized objective function of an optimization problem

    The value function of an optimization problem gives the value attained by the objective function at a solution, while only depending on the parameters

    Value function

    Value_function

  • Absolute value
  • Distance from zero to a number

    the absolute value function is idempotent (meaning that the absolute value of any absolute value is itself). The absolute value function of a real number

    Absolute value

    Absolute value

    Absolute_value

  • Hash function
  • Mapping arbitrary data to fixed-size values

    A hash function is any function that can be used to map data of arbitrary size to fixed-size values, though there are some hash functions that support

    Hash function

    Hash function

    Hash_function

  • Shapley value
  • Concept in game theory

    coalition (set of players) S {\displaystyle S} , we define the payoff or value function v ( S ) {\displaystyle v(S)} as the total sum of payoffs that the members

    Shapley value

    Shapley value

    Shapley_value

  • Symmetric derivative
  • Operation in differential calculus

    the mean-value theorem hold for the symmetric derivative; some similar but weaker statements have been proved. For the absolute value function f ( x )

    Symmetric derivative

    Symmetric_derivative

  • Function value
  • Topics referred to by the same term

    Function value may refer to: In mathematics, the value of a function when applied to an argument. In computer science, a closure. This disambiguation page

    Function value

    Function_value

  • Complex analysis
  • Branch of mathematics studying functions of a complex variable

    real-valued. In other words, a complex function f : C → C {\displaystyle f:\mathbb {C} \to \mathbb {C} } may be decomposed into two real-valued functions (

    Complex analysis

    Complex analysis

    Complex_analysis

  • Mean value theorem
  • Theorem in mathematics

    and real analysis, the mean value theorem (or Lagrange's mean value theorem) is a theorem about differentiable functions, roughly stating that the average

    Mean value theorem

    Mean_value_theorem

  • Multivalued function
  • Generalized mathematical function

    a multivalued function, multiple-valued function, many-valued function, or multifunction, is a function that has two or more values in its range for

    Multivalued function

    Multivalued function

    Multivalued_function

  • Reinforcement learning
  • Field of machine learning

    two main approaches for achieving this are value function estimation and direct policy search. Value function approaches attempt to find a policy that maximizes

    Reinforcement learning

    Reinforcement learning

    Reinforcement_learning

  • Function (mathematics)
  • Association of one output to each input

    possible applications of the concept. A function is often denoted by a letter such as f, g or h. The value of a function f at an element x of its domain (that

    Function (mathematics)

    Function_(mathematics)

  • Particular values of the gamma function
  • Mathematical constants

    The gamma function is an important special function in mathematics. Its particular values can be expressed in closed form for integer, half-integer, and

    Particular values of the gamma function

    Particular_values_of_the_gamma_function

  • Sign function
  • Function returning minus 1, zero or plus 1

    In mathematics, the sign function or signum function (from signum, Latin for "sign") is a function that has the value −1, +1 or 0 according to whether

    Sign function

    Sign function

    Sign_function

  • Continuous function
  • Mathematical function with no sudden changes

    mathematics, a continuous function is a function such that a small variation of its argument induces at most a small variation of its value. This implies there

    Continuous function

    Continuous_function

  • Real-valued function
  • Mathematical function that outputs real values

    In mathematics, a real-valued function is a function whose values are real numbers. In other words, it is a function that assigns a real number to each

    Real-valued function

    Real-valued function

    Real-valued_function

  • Proto-value function
  • mathematics, proto-value functions (PVFs) are automatically learned basis functions that are useful in approximating task-specific value functions, providing

    Proto-value function

    Proto-value_function

  • Derivative
  • Instantaneous rate of change (mathematics)

    to change of a function's output with respect to its input. The derivative of a function of a single variable at a chosen input value, when it exists

    Derivative

    Derivative

    Derivative

  • Darboux's theorem (analysis)
  • All derivatives have the intermediate value property

    theorem states that the derivative of any real-valued function of a real variable has the intermediate value property, that is, that the image of an interval

    Darboux's theorem (analysis)

    Darboux's_theorem_(analysis)

  • Heaviside step function
  • Indicator function of positive numbers

    function, or the unit step function, usually denoted by H or θ (but sometimes u, 1 or 𝟙), is a step function named after Oliver Heaviside, the value

    Heaviside step function

    Heaviside step function

    Heaviside_step_function

  • Prospect theory
  • Theory of behavioral economics

    It introduces a value function defined over gains and losses rather than final wealth, as well as a probability-weighting function that reflects the

    Prospect theory

    Prospect theory

    Prospect_theory

  • Boolean function
  • Function returning one of only two values

    In mathematics, a Boolean function is a function whose arguments and result assume values from a two-element set (usually {true, false}, {0,1} or {−1

    Boolean function

    Boolean function

    Boolean_function

  • Probability density function
  • Description of continuous random distribution

    probability density function (PDF), density function, or simply density of an absolutely continuous random variable, is a function whose value at any given point

    Probability density function

    Probability density function

    Probability_density_function

  • Vector-valued function
  • Function valued in a vector space; typically a real or complex one

    A vector-valued function, also referred to as a vector function, is a mathematical function of one or more variables whose range is a set of multidimensional

    Vector-valued function

    Vector-valued_function

  • Piecewise function
  • Function defined by multiple sub-functions

    mathematics, a piecewise function (also called a piecewise-defined function, a hybrid function, or a function defined by cases) is a function whose domain is partitioned

    Piecewise function

    Piecewise function

    Piecewise_function

  • Utility
  • Concept in economics and decision theory

    the same utility value. Individual and social utility can be construed as the value of a utility function and a social welfare function, respectively. When

    Utility

    Utility

  • Set-valued function
  • Function whose values are sets (mathematics)

    A set-valued function, also called a correspondence or set-valued relation, is a mathematical function that maps elements from one set, the domain of the

    Set-valued function

    Set-valued function

    Set-valued_function

  • Harmonic function
  • Functions in mathematics

    convergent sequence of harmonic functions is still harmonic. This is true because every continuous function satisfying the mean value property is harmonic. Consider

    Harmonic function

    Harmonic function

    Harmonic_function

  • Parameter (computer programming)
  • Variable that represents an argument to a function

    arguments are passed to a function. Generally, with call by value, a parameter acts like a new, local variable initialized to the value of the argument. If

    Parameter (computer programming)

    Parameter_(computer_programming)

  • Limit of a function
  • Point to which functions converge in analysis

    the concept of limit: roughly, a function is continuous if all of its limits agree with the values of the function. The concept of limit also appears

    Limit of a function

    Limit_of_a_function

  • Differentiable function
  • Mathematical function whose derivative exists

    or complex function of a single variable is differentiable if its derivative exists at each point in its domain. For real-valued functions of a real variable

    Differentiable function

    Differentiable function

    Differentiable_function

  • Value (mathematics)
  • Notion in mathematics

    as values. The value of a function, given the value(s) assigned to its argument(s), is the quantity assumed by the function for these argument values. For

    Value (mathematics)

    Value_(mathematics)

  • Exponential function
  • Mathematical function, denoted exp(x) or e^x

    mathematics, the exponential function is the unique real function which maps zero to one and has a derivative everywhere equal to its value. It is denoted ⁠ e x

    Exponential function

    Exponential function

    Exponential_function

  • Expected value
  • Average value of a random variable

    function given by a function f {\displaystyle f} on the real number line. This means that the probability of X {\displaystyle X} taking on any value in

    Expected value

    Expected value

    Expected_value

  • Proximal policy optimization
  • Model-free reinforcement learning algorithm

    K\}} is the smallest value which improves the sample loss and satisfies the sample KL-divergence constraint. Fit value function by regression on mean-squared

    Proximal policy optimization

    Proximal_policy_optimization

  • Zero of a function
  • Point where function's value is zero

    sometimes called a root) of a real-, complex-, or generally vector-valued function f {\displaystyle f} , is a member x {\displaystyle x} of the domain

    Zero of a function

    Zero of a function

    Zero_of_a_function

  • Sigmoid function
  • Mathematical function having a characteristic S-shaped curve or sigmoid curve

    values of x) and the ogee curve (used in the spillway of some dams). Sigmoid functions have domain of all real numbers, with return (response) value commonly

    Sigmoid function

    Sigmoid function

    Sigmoid_function

  • Loss function
  • Mathematical relation assigning a probability event to a cost

    decision theory, a loss function or cost function (sometimes also called an error function) is a function that maps an event or values of one or more variables

    Loss function

    Loss function

    Loss_function

  • Intermediate value theorem
  • Continuous function on an interval takes on every value between its values at the ends

    mathematical analysis, the intermediate value theorem states that if f {\displaystyle f} is a continuous function whose domain contains the interval [a

    Intermediate value theorem

    Intermediate value theorem

    Intermediate_value_theorem

  • Particular values of the Riemann zeta function
  • Constants of the mathematical zeta function

    partial sums would grow indefinitely large. The zeta function values listed below include function values at the negative even numbers (⁠ s = − 2 , − 4 {\displaystyle

    Particular values of the Riemann zeta function

    Particular values of the Riemann zeta function

    Particular_values_of_the_Riemann_zeta_function

  • Function (computer programming)
  • Sequence of program instructions invokable by other software

    as COBOL and BASIC, make a distinction between functions that return a value (typically called "functions") and those that do not (typically called "subprogram"

    Function (computer programming)

    Function_(computer_programming)

  • Maximum and minimum
  • Largest and smallest value taken by a function at a given point

    analysis, the maximum and minimum of a function are, respectively, the greatest and least value taken by the function. Known generically as extrema, they

    Maximum and minimum

    Maximum and minimum

    Maximum_and_minimum

  • Convex function
  • Real function with secant line between points above the graph itself

    mathematics, a real-valued function is called convex if the line segment between any two distinct points on the graph of the function lies above or on the

    Convex function

    Convex function

    Convex_function

  • Hessian matrix
  • Matrix of second derivatives

    second-order partial derivatives of a scalar-valued function, or scalar field. It describes the local curvature of a function of many variables. The Hessian matrix

    Hessian matrix

    Hessian_matrix

  • Bellman equation
  • Necessary condition for optimality associated with dynamic programming

    relationship between the value function in one period and the value function in the next period. The relationship between these two value functions is called the

    Bellman equation

    Bellman equation

    Bellman_equation

  • Holomorphic function
  • Complex-differentiable (mathematical) function

    In mathematics, a holomorphic function is a complex-valued function of one or more complex variables that is complex differentiable in a neighbourhood

    Holomorphic function

    Holomorphic function

    Holomorphic_function

  • Actor-critic algorithm
  • Reinforcement learning algorithms

    function π ( a | s ) {\displaystyle \pi (a|s)} , while the critic estimates either the value function V ( s ) {\displaystyle V(s)} , the action-value

    Actor-critic algorithm

    Actor-critic_algorithm

  • Analytic function
  • Type of function in mathematics

    becomes analytic as a function of t {\displaystyle t} . Typical examples of functions that are not analytic are The absolute value function x ↦ | x | {\displaystyle

    Analytic function

    Analytic function

    Analytic_function

  • Policy gradient method
  • Class of reinforcement learning algorithms

    methods. Unlike value-based methods which learn a value function to derive a policy, policy optimization methods directly learn a policy function π {\displaystyle

    Policy gradient method

    Policy_gradient_method

  • Smoothness
  • Degree of differentiability of a function or map

    function has class C k {\displaystyle C^{k}} . For example, the absolute value function f ( x ) = | x | {\displaystyle f(x)=|x|} has class C 0 {\displaystyle

    Smoothness

    Smoothness

    Smoothness

  • Floor and ceiling functions
  • Nearest integers from a number

    the floor function for negative numbers. For an integer n, ⌊n⌋ = ⌈n⌉ = n. Although floor(x + 1) and ceil(x) are equal for non-integer values of x, and

    Floor and ceiling functions

    Floor and ceiling functions

    Floor_and_ceiling_functions

  • Scalar field
  • Assignment of numbers to points in space

    Mathematically, a scalar field on a region U is a real or complex-valued function or distribution on U. The region U may be a set in some Euclidean space

    Scalar field

    Scalar field

    Scalar_field

  • Boolean-valued function
  • Function that outputs either true or false

    A Boolean-valued function (sometimes called a predicate or a proposition) is a function of the type f : X → B, where X is an arbitrary set and where B

    Boolean-valued function

    Boolean-valued_function

  • Natural logarithm
  • Logarithm to the base of the mathematical constant e

    logarithm function, if considered as a real-valued function of a positive real variable, is the inverse function of the exponential function, leading to

    Natural logarithm

    Natural logarithm

    Natural_logarithm

  • Weierstrass function
  • Function that is continuous everywhere but differentiable nowhere

    mathematics, the Weierstrass function, named after its discoverer, Karl Weierstrass, is an example of a real-valued function that is continuous everywhere

    Weierstrass function

    Weierstrass function

    Weierstrass_function

  • Gamma function
  • Extension of the factorial function

    the second kind. (Euler's integral of the first kind is the beta function.) The value Γ ( 1 ) {\displaystyle \Gamma (1)} can be calculated as Γ ( 1 ) =

    Gamma function

    Gamma function

    Gamma_function

  • Singularity (mathematics)
  • Point where a mathematical object behaves irregularly

    reciprocal function f ( x ) = 1 / x {\displaystyle f(x)=1/x} has a singularity at x = 0 {\displaystyle x=0} , where the value of the function is not defined

    Singularity (mathematics)

    Singularity_(mathematics)

  • Sinc function
  • Special mathematical function defined as sin(x)/x

    both cases, the value of the function at the removable singularity at zero is understood to be the limit value 1. The sinc function is then analytic

    Sinc function

    Sinc function

    Sinc_function

  • Cumulative distribution function
  • Probability that random variable X is less than or equal to x

    cumulative distribution function (CDF) of a real-valued random variable X {\displaystyle X} , or just distribution function of X {\displaystyle X} ,

    Cumulative distribution function

    Cumulative distribution function

    Cumulative_distribution_function

  • Inverse function
  • Mathematical concept

    example, consider the real-valued function of a real variable given by f(x) = 5x − 7. One can think of f as the function which multiplies its input by

    Inverse function

    Inverse function

    Inverse_function

  • Lebesgue integral
  • Method of mathematical integration

    the values of a function freely, while preserving the value of the integral. This process of rearrangement can convert a very pathological function into

    Lebesgue integral

    Lebesgue integral

    Lebesgue_integral

  • Periodic function
  • Function with a repeating pattern

    A periodic function is a function that repeats its values at regular intervals. For example, the trigonometric functions, which are used to describe waves

    Periodic function

    Periodic function

    Periodic_function

  • Inverse hyperbolic functions
  • Mathematical functions

    {\displaystyle \sinh ^{-1}} ). For a given value of a hyperbolic function, the inverse hyperbolic function provides the corresponding hyperbolic angle

    Inverse hyperbolic functions

    Inverse hyperbolic functions

    Inverse_hyperbolic_functions

  • Function of several real variables
  • Mathematical function with multiple real-number arguments

    function of a real variable to several variables. The "input" variables take real values, while the "output", also called the "value of the function"

    Function of several real variables

    Function_of_several_real_variables

  • Huber loss
  • Loss function used in robust regression

    &{\text{otherwise.}}\end{cases}}} This function is quadratic for small values of a, and linear for large values, with equal values and slopes of the different sections

    Huber loss

    Huber_loss

  • Jacobian matrix and determinant
  • Matrix of partial derivatives of a vector-valued function

    calculus, the Jacobian matrix (/dʒəˈkoʊbiən/, /dʒɪ-, jɪ-/) of a vector-valued function of several variables is the matrix of all its first-order partial derivatives

    Jacobian matrix and determinant

    Jacobian_matrix_and_determinant

  • Integer-valued function
  • In mathematics, an integer-valued function is a function whose values are integers. In other words, it is a function that assigns an integer to each member

    Integer-valued function

    Integer-valued function

    Integer-valued_function

  • Uniform continuity
  • Uniform restraint of the change in functions

    positive real number δ {\displaystyle \delta } such that function values over any function domain interval of the size δ {\displaystyle \delta } are

    Uniform continuity

    Uniform continuity

    Uniform_continuity

  • Homogeneous function
  • Function with a multiplicative scaling behaviour

    the function's arguments is multiplied by the same scalar, then the function's value is multiplied by some power of this scalar; the power is called the

    Homogeneous function

    Homogeneous_function

  • Inverse function theorem
  • Theorem in mathematics

    complex-valued functions of a complex variable. It generalizes to functions from n-tuples (of real or complex numbers) to n-tuples, and to functions between

    Inverse function theorem

    Inverse function theorem

    Inverse_function_theorem

  • Logistic function
  • S-shaped curve

    {\displaystyle L} is the carrying capacity, the supremum of the values of the function; k {\displaystyle k} is the logistic growth rate, the steepness

    Logistic function

    Logistic function

    Logistic_function

  • Likelihood function
  • Function related to statistics and probability theory

    function of θ {\textstyle \theta } , a possible value of the deterministic but unknown parameter Θ {\textstyle \Theta } , is the likelihood function,

    Likelihood function

    Likelihood_function

  • Dirac delta function
  • Generalized function whose value is zero everywhere except at zero

    continuous function f. The implication is that the Fourier series of any continuous function is Cesàro summable to the value of the function at every point

    Dirac delta function

    Dirac delta function

    Dirac_delta_function

  • Quasiconvex function
  • Mathematical function with convex lower level sets

    In mathematics, a quasiconvex function is a real-valued function defined on a convex subset of a real vector space, such that for any real number y, the

    Quasiconvex function

    Quasiconvex function

    Quasiconvex_function

  • Logarithmic integral function
  • Special function defined by an integral

    approximation to the prime-counting function, which is defined as the number of prime numbers less than or equal to a given value x. The logarithmic integral

    Logarithmic integral function

    Logarithmic integral function

    Logarithmic_integral_function

  • Principal value
  • Specific values of a multivalued function

    branch that takes a real value for small positive values of the variable. A principal value is the value at a point of the function defined by the principal

    Principal value

    Principal_value

  • Model-free (reinforcement learning)
  • Class of reinforcement learning algorithm

    this framework, each policy is first evaluated by its corresponding value function. Then, based on the evaluation result, greedy search is completed to

    Model-free (reinforcement learning)

    Model-free_(reinforcement_learning)

  • Medium of exchange
  • Method by which value is transferred between parties

    Silvio Gesell believed that the function of money as a store of value is fundamentally incompatible with its function as a medium of exchange for maximum

    Medium of exchange

    Medium_of_exchange

  • Pure function
  • Program function without side effects

    In computer programming, a pure function is a function that has the following properties: the function return values are identical for identical arguments

    Pure function

    Pure_function

  • Special values of L-functions
  • Subfield of number theory

    In mathematics, the study of special values of L-functions is a subfield of number theory devoted to generalising formulae such as the Leibniz formula

    Special values of L-functions

    Special_values_of_L-functions

  • Even and odd functions
  • Functions such that f(–x) equals f(x) or –f(x)

    odd, the absolute value of that function is an even function. The sum of two even functions is even. The sum of two odd functions is odd. The difference

    Even and odd functions

    Even and odd functions

    Even_and_odd_functions

  • Lipschitz continuity
  • Strong form of uniform continuity

    cosine function, is bounded above by 1 in absolute value. Lipschitz continuous functions that are not everywhere differentiable The function f ( x )

    Lipschitz continuity

    Lipschitz continuity

    Lipschitz_continuity

  • Hamilton–Jacobi–Bellman equation
  • Optimality condition in optimal control theory

    conditions for optimality of a control with respect to a loss function. Its solution is the value function of the optimal control problem which, once known, can

    Hamilton–Jacobi–Bellman equation

    Hamilton–Jacobi–Bellman_equation

  • Constant function
  • Type of mathematical function

    mathematics, a constant function is a function whose (output) value is the same for every input value. As a real-valued function of a real-valued argument, a constant

    Constant function

    Constant_function

  • Partially observable Markov decision process
  • Generalization of a Markov decision process

    expected reward value for each belief state, compactly represented by the optimal value function V ∗ {\displaystyle V^{*}} . This value function is solution

    Partially observable Markov decision process

    Partially_observable_Markov_decision_process

  • Argument (complex analysis)
  • Angle of complex number about real axis

    real-valued angle is considered, the argument is a multivalued function operating on the nonzero complex numbers. The principal value of this function is

    Argument (complex analysis)

    Argument (complex analysis)

    Argument_(complex_analysis)

  • Differential calculus
  • Study of rates of change

    the graph of the function at that point, provided that the derivative exists and is defined at that point. For a real-valued function of a single real

    Differential calculus

    Differential calculus

    Differential_calculus

  • Envelope theorem
  • Theorem in mathematics and economics

    theorem is a major result about the differentiability properties of the value function of a parameterized optimization problem. As we change parameters of

    Envelope theorem

    Envelope_theorem

  • Subadditive set function
  • function is a set function whose value, informally, has the property that the value of function on the union of two sets is at most the sum of values

    Subadditive set function

    Subadditive_set_function

  • Rolle's theorem
  • Theorem in real analysis

    Rolle's theorem (or lemma) states that a real-valued differentiable function which attains equal values at two distinct points must have a stationary

    Rolle's theorem

    Rolle's theorem

    Rolle's_theorem

  • Probability mass function
  • Discrete-variable probability distribution

    exactly equal to some value. Sometimes it is also known as the discrete probability density function. The probability mass function is often the primary

    Probability mass function

    Probability mass function

    Probability_mass_function

  • Logarithm
  • Mathematical function, inverse of an exponential function

    tends to be a multi-valued function. For example, the complex logarithm is the multi-valued inverse of the complex exponential function. Similarly, the discrete

    Logarithm

    Logarithm

    Logarithm

  • Subderivative
  • Generalization of derivatives to real-valued functions

    interval of the real line. Such a function need not be differentiable at all points: For example, the absolute value function f ( x ) = | x | {\displaystyle

    Subderivative

    Subderivative

    Subderivative

  • Volterra's function
  • Differentiable function whose derivative is not Riemann integrable

    In mathematics, Volterra's function, named for Vito Volterra, is a real-valued function V defined on the real line R with the following curious combination

    Volterra's function

    Volterra's function

    Volterra's_function

  • Complex logarithm
  • Logarithm of a complex number

    equally spaced along a vertical line in the complex plane. A complex-valued function log : U → C {\displaystyle \log \colon U\to \mathbb {C} } , defined

    Complex logarithm

    Complex logarithm

    Complex_logarithm

  • Real analysis
  • Mathematics of real numbers and real functions

    differentiable function satisfies the intermediate value property; weaker than continuity, but still a restricted class of functions. In more advanced

    Real analysis

    Real_analysis

  • Entire function
  • Function that is holomorphic on the whole complex plane

    In complex analysis, an entire function, also called an integral function, is a complex-valued function that is holomorphic on the whole complex plane

    Entire function

    Entire_function

  • Extreme value theorem
  • Continuous real function on a closed interval has a maximum and a minimum

    In real analysis, the extreme value theorem states that if a real-valued function f {\displaystyle f} is continuous on the closed and bounded interval

    Extreme value theorem

    Extreme value theorem

    Extreme_value_theorem

  • Primitive recursive function
  • Function computable with bounded loops

    \end{cases}}\end{aligned}}} Interpretation: The function f {\displaystyle f} acts as a for-loop from 0 {\displaystyle 0} up to the value of its first argument. The rest

    Primitive recursive function

    Primitive_recursive_function

  • Convolution
  • Integral expressing the amount of overlap of one function as it is shifted over another

    The integral is evaluated for all values of shift, producing the convolution function. The choice of which function is reflected and shifted before the

    Convolution

    Convolution

    Convolution

  • Limit (mathematics)
  • Value approached by a mathematical object

    a limit is the value that a function (or sequence) approaches as the argument (or index) approaches some value. Limits of functions are essential to

    Limit (mathematics)

    Limit_(mathematics)

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