rlFunctionEnv
Specify custom reinforcement learning environment dynamics using functions
Description
Use rlFunctionEnv
to define a custom reinforcement learning
environment. You provide MATLAB® functions that define the step and reset behavior for the environment. This
object is useful when you want to customize your environment beyond the predefined
environments available with rlPredefinedEnv
.
Creation
Description
Input Arguments
Properties
Object Functions
getActionInfo | Obtain action data specifications from reinforcement learning environment or agent |
getObservationInfo | Obtain observation data specifications from reinforcement learning environment or agent |
train | Train reinforcement learning agents within a specified environment |
sim | Simulate trained reinforcement learning agents within specified environment |
validateEnvironment | Validate custom reinforcement learning environment |