final case class Fn[Obs, A, R, G, S[_]](f: ActionValueFn[Obs, A, G]) extends ActionValue[Obs, A, R, G, S] with Product with Serializable
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Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
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def
byPolicy[M[_]](policy: Policy[Obs, A, R, M, S])(implicit M: Expectation[M], MV: Module[Double, G]): StateValue[Obs, A, R, G, S]
- Definition Classes
- ActionValue
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def
clone(): AnyRef
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final
def
eq(arg0: AnyRef): Boolean
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def
evaluate(state: State[Obs, A, R, S], a: A): G
- Definition Classes
- Fn → ActionValue
- val f: ActionValueFn[Obs, A, G]
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def
finalize(): Unit
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final
def
getClass(): Class[_]
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def
greedyOptions(state: State[Obs, A, R, S])(implicit G: Ordering[G]): Set[A]
- Definition Classes
- ActionValue
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final
def
isInstanceOf[T0]: Boolean
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final
def
ne(arg0: AnyRef): Boolean
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final
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notify(): Unit
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final
def
notifyAll(): Unit
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def
synchronized[T0](arg0: ⇒ T0): T0
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final
def
wait(): Unit
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def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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ScalaRL
This is the API documentation for the ScalaRL functional reinforcement learning library.
Further documentation for ScalaRL can be found at the documentation site.
Check out the ScalaRL package list for all the goods.