Creating and Training Reinforcement Learning Agents Interactively

Design, train, and simulate reinforcement learning agents using a visual interactive workflow in the Reinforcement Learning Designer app. Use the app to set up a reinforcement learning problem in Reinforcement Learning Toolbox™ without writing MATLAB® code. Work through the entire reinforcement learning workflow to:

- Import an existing environment in the app

- Import or create a new agent for your environment and select the appropriate hyperparameters for the agent

- Use the default neural network architectures created by Reinforcement Learning Toolbox or import custom architectures

- Train the agent on single or multiple workers and simulate the trained agent against the environment

- Analyze simulation results and refine agent parameters

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

Additional Resources:

- Download ebook: Reinforcement Learning with MATLAB and Simulink: https://bit.ly/3apAgXY - Get Started with Reinforcement Learning Onramp: https://bit.ly/36rKy96