Documentation
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Index ¶
Constants ¶
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Variables ¶
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Functions ¶
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Types ¶
type ActionStatter ¶
type ActionStatter interface { Calls() int SetCalls(int) QValueRaw() float64 SetQValueRaw(float64) QValueWeighted() float64 SetQValueWeighted(float64) }
ActionStatter is something that can represent the stats associated with an action.
type Actioner ¶
type Actioner interface { // ID returns a string representation of the given action. // Implementers should take care to ensure this is a consistent hash for a // given state. ID() string }
Actioner is an interace wrapping an action that can be applied to the model's current state.
type Agenter ¶
type Agenter interface { // RecommendAction recommends an action given a state and the model that the // agent has learned thus far. RecommendAction(Stater) (Actioner, error) // Transition applies an action to a given state. // Implementors should take care to ensure that Transition returns an error // if the supplied Action is not applicable to the specified state. Transition(Stater, Actioner) error // Learn updates the model for a given state and action using the provided // Rewarder. Learn(previousState Stater, actionTaken Actioner, currentState Stater, reward float64) }
An Agenter is anything that is capable of recommending actions, applying actions to a given state, and learning based on the transition from one state to another.
type Stater ¶
type Stater interface { // PossibleActions provides a slice of Actions that are applicable to this // state. PossibleActions() []Actioner // ActionIsCompatible checks whether or not the supplied action is // compatible with this state. ActionIsCompatible(Actioner) bool // GetAction returns an action of a specified name, or an error if no action // exists of that name for this state. GetAction(string) (Actioner, error) // ID returns a string representation of the this state. // Implementers should take care to ensure this is a consistent hash for a // given state. ID() string // Apply executes the supplied action. Apply(Actioner) error }
Stater is an interface wrapping the current state of the model.
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