Learn the basics of creating intelligent controllers that learn from experience in MATLABĀ®. Add a reinforcement learning agent to a SimulinkĀ® model and use MATLAB to train it to choose the best action in a given situation.
Familiarize yourself with reinforcement learning concepts and the course.
Define how an agent interacts with an environment model.
Create representations of RL agents.
Use simulation episodes to train an agent.
Learn next steps and give feedback on the course.
Format:Self-paced
Language:English
Get started quickly using deep learning methods to perform image recognition.
Get started quickly with the basics of Simulink.
Get started quickly with the basics of MATLAB.