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