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.
涵盖的内容
7个视频1个作业
显示有关单元内容的信息
7个视频•总计104分钟
What is Reinforcement Learning?•14分钟
Understanding Reinforcement Learning Environment and Rewards•13分钟
Reinforcement Learning Policies and Learning Algorithms•18分钟
Solving the Walking Robot Problem with Reinforcement Learning•15分钟
Overcoming the Practical Challenges when using Reinforcement Learning•16分钟
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