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Reinforcement Learning Designer

Design, train, and simulate reinforcement learning agents

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Description

TheReinforcement Learning Designer应用程序允许您design, train, and simulate agents for existing environments.

Using this app, you can:

  • Import an existing environment from the MATLAB®workspace or create a predefined environment.

  • Automatically create or import an agent for your environment (DQN, DDPG, PPO, and TD3 agents are supported).

  • Train and simulate the agent against the environment.

  • Analyze simulation results and refine your agent parameters.

  • Export the final agent to the MATLAB workspace for further use and deployment.

Limitations

The following features are not supported in theReinforcement Learning Designer应用程序。

  • Multi-agent systems

  • Q, SARSA, PG, AC, and SAC agents

  • Custom agents

  • Agents relying on table or custom basis function representations

If your application requires any of these features then design, train, and simulate your agent at the command line.

Reinforcement Learning Designer app

Open the Reinforcement Learning Designer App

  • MATLAB Toolstrip: On theAppstab, underMachine Learning and Deep Learning, click the app icon.

  • MATLAB command prompt: EnterreinforcementLearningDesigner.

Examples

Programmatic Use

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reinforcementLearningDesigneropens theReinforcement Learning Designer应用程序。You can then import an environment and start the design process, or open a saved design session.

Version History

Introduced in R2021a

See Also

Apps

Functions

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