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 -------------------------------------------------------------------------------------------------------- Get a free product Trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2019 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.