rlNumericSpec
Create continuous action or observation data specifications for reinforcement learning environments
Description
AnrlNumericSpec
object specifies continuous action or observation data specifications for reinforcement learning environments.
Creation
Description
creates a data specification for continuous actions or observations and sets theDimensionproperty.spec
= rlNumericSpec(dimension
)
setsPropertiesusing name-value pair arguments.spec
= rlNumericSpec(dimension
,Name,Value
)
Properties
Object Functions
rlSimulinkEnv |
Create reinforcement learning environment using dynamic model implemented in金宝app |
rlFunctionEnv |
Specify custom reinforcement learning environment dynamics using functions |
rlRepresentation |
(Not recommended) Model representation for reinforcement learning agents |