learning

alltypes

class LearningController<T> : Output<T> where T : DaqcValue, T : Comparable<T>

fun cancel(): Unit
val coroutineContext: CoroutineContext
val correlatedInputs: List<Recorder<DaqcValue, RangedInput<*>>>
val isTransceiving: InitializedUpdatable<Boolean>
val minTimeBetweenActions: Duration
val outputs: List<Recorder<DaqcValue, RangedOutput<*>>>
fun setOutput(setting: T): Viable
fun stopTransceiving(): Unit
val targetInput: Recorder<T, RangedInput<T>>
val updateBroadcaster: ConflatedBroadcastChannel<out ValueInstant<T>>

class OnlineQlDiscreteDense<O : Encodable> : QLearningDiscreteDense<O>

OnlineQlDiscreteDense(mdp: MDP<O, Int, DiscreteSpace>, netConf: Configuration, conf: QLConfiguration, dataManager: DataManager)
fun trainStep(obs: O): QLStepReturn<O>

package org.tenkiv.kuantify.learning.controller

class LearningController<T> : Output<T> where T : DaqcValue, T : Comparable<T>

fun cancel(): Unit
val coroutineContext: CoroutineContext
val correlatedInputs: List<Recorder<DaqcValue, RangedInput<*>>>
val isTransceiving: InitializedUpdatable<Boolean>
val minTimeBetweenActions: Duration
val outputs: List<Recorder<DaqcValue, RangedOutput<*>>>
fun setOutput(setting: T): Viable
fun stopTransceiving(): Unit
val targetInput: Recorder<T, RangedInput<T>>
val updateBroadcaster: ConflatedBroadcastChannel<out ValueInstant<T>>

package org.tenkiv.kuantify.learning.lib

class OnlineQlDiscreteDense<O : Encodable> : QLearningDiscreteDense<O>

OnlineQlDiscreteDense(mdp: MDP<O, Int, DiscreteSpace>, netConf: Configuration, conf: QLConfiguration, dataManager: DataManager)
fun trainStep(obs: O): QLStepReturn<O>