Reinforcement Learning

This course provides an overview of reinforcement learning, a type of machine learning that has the potential to solve control system problems that are too difficult to solve with traditional techniques. You'll work through the basics of the reinforcement problem and how it differs from traditional control techniques. You'll also see how neural networks are used to represent unknown functions and how the agent uses rewards from the environment to train them

• Understand reinforcement learning and its application in control problems
• Set up and solve reinforcement learning tasks
• Analyze advantages and disadvantages compared to traditional control

• Basic computer and internet skills recommended
• Ability to follow English instructions and complete short exercises