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ActionValueFn[Obs, A, T] extends AnyRef
Along with StateValueFn, this is the main trait in tabular reinforcement learning for tracking the value of an (observation, action) pair.
- trait Agent[Obs, A, R, T, M[_]] extends AnyRef
- type Cat[+T] = Categorical[T]
Policy[Obs, A, R, M[_], S[_]] extends AnyRef
This is how agents actually choose what comes next.
SARS[Obs, A, R, S[_]](state: State[Obs, A, R, S], action: A, reward: R, nextState: State[Obs, A, R, S]) extends Product with Serializable
Chunk that you get back for playing an episode.
State[Obs, A, R, M[_]] extends AnyRef
A world should probably have a generator of states and actions...
StateValueFn[Obs, T] extends AnyRef
Along with ActionValueFn, this is the main trait in tabular reinforcement learning for tracking the value of a state as evidenced by the observation it returns.
- final case class Time(value: Long) extends AnyVal with Product with Serializable
Constructors and classes associated with ActionValueFn.
- object Agent
Contains traits and instances for the two evaluation methods.
- object Policy
- object State
Constructors and classes associated with StateValueFn.
- object Time extends Serializable
- object Util