load matlab environments in reinforcement learning designer -凯发k8网页登录

load matlab environments in reinforcement learning designer

when training an agent using the reinforcement learning designer app, you can create a predefined environment object from within the app or import a custom environment object from the matlab^® workspace.

to create a predefined environment object, on the reinforcement learning tab, in the environment section, click new. then, under matlab environments, select one of the predefined environments.

to use a custom environment, you must first create the environment object at the matlab command line and then import the object into reinforcement learning designer. for an introduction to creating a custom environment, see reinforcement learning environments.

once you create a custom environment using one of the available methods, import the environment into reinforcement learning designer. on the reinforcement learning tab, click import. then, under select environment, select the environment object.

once you have created or imported an environment object, the app adds the environment to the environments pane.

once you have created an environment, you can create an agent for that environment. for more information on creating agents within reinforcement learning designer, see .

see also

functions

• rlpredefinedenv | rlcreateenvtemplate | validateenvironment

objects

• rlfunctionenv

apps

• reinforcement learning designer

related examples

• design and train agent using reinforcement learning designer

more about

• reinforcement learning environments
• load predefined control system environments
• load simulink environments in reinforcement learning designer