2min chapter

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Let's get physical

Google DeepMind: The Podcast

CHAPTER

The Disadvantages of Reinforcement

The main limitation is that you really start from scratch. With more classical approaches, you perhaps don't need any data. It's just going to work out of the box. So these are certainly disadvantages of reinforcement. And there are many different ways to share knowledge. In particular, you can just have multi probots collecting data. This is really the way to scale up this data collection process. What jan is talking about here is a technique called pooling. Instead of hardy and england learning to walk independently of each other, their data, how many times they fell over, what their censor readings were when they fell, et cetera, is regularly uploaded to a central control e

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