TalkRL: The Reinforcement Learning Podcast cover image

Jeff Clune

TalkRL: The Reinforcement Learning Podcast

CHAPTER

Open-Ended Algorithms in Machine Learning

Many RL algorithms could take advantage of lots of computing a simulator and then learn a lot of stuff. It would be really cool to try to use the principles of Go Explorer in a problem that doesn't have simulators. So sounds like hard exploration problems that have really good simulators would be suitable for Go Explorer. And boom, you might zero-shot transfer to the real world.

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