rlFiniteSetSpec
Create discrete action or observation data specifications for reinforcement learning environments
Since R2019a
Description
An rlFiniteSetSpec
object specifies discrete action or
observation data specifications for reinforcement learning environments.
Creation
Properties
Object Functions
rlSimulinkEnv | Create reinforcement learning environment using dynamic model implemented in Simulink |
rlFunctionEnv | Specify custom reinforcement learning environment dynamics using functions |
rlValueFunction | Value function approximator object for reinforcement learning agents |
rlQValueFunction | Q-Value function approximator object for reinforcement learning agents |
rlVectorQValueFunction | Vector Q-value function approximator for reinforcement learning agents |
rlContinuousDeterministicActor | Deterministic actor with a continuous action space for reinforcement learning agents |
rlDiscreteCategoricalActor | Stochastic categorical actor with a discrete action space for reinforcement learning agents |
rlContinuousGaussianActor | Stochastic Gaussian actor with a continuous action space for reinforcement learning agents |
Examples
Version History
Introduced in R2019a
See Also
Functions
Objects
rlNumericSpec
|rlValueRepresentation
|rlQValueRepresentation
|rlDeterministicActorRepresentation
|rlStochasticActorRepresentation
|rlFunctionEnv