machine_learning.rl

Class Hidden

 A Hidden object rapresents a object that is not visibile to machine
 learning algorithms. For example a machine learning algorithms learning
 to play black jack should not have access to the deck of cards, so it can be wrapped into a hidden to achieve that effect

Fields

T value

Methods

Function: assign(T content)

Class HiddenInformation

Fields

T value
Int owner

Methods

Function: assign(T content)

Free Functions

Function: write_in_observation_tensor<T>(Hidden<T> obj, Int observer_id, Vector<Float> output, Int index)

 since the underlying object is hidden, this function does nothing.

Function: size_as_observation_tensor<T>(Hidden<T> obj) -> Int

 since the underlying object is hidden, always returns zero

Function: append_to_vector<T>(Hidden<T> to_add, Vector<Byte> output)
Function: parse_from_vector<T>(Hidden<T> to_add, Vector<Byte> output, Int index) -> Bool
Function: append_to_string<T>(Hidden<T> to_add, String output)
Function: parse_string<T>(Hidden<T> to_add, String input, Int index) -> Bool
Function: write_in_observation_tensor<T>(HiddenInformation<T> obj, Int observer_id, Vector<Float> output, Int index)
Function: size_as_observation_tensor<T>(HiddenInformation<T> obj) -> Int