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Goodhart's Law in Reinforcement Learning

Data Skeptic

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What's the Difference Between on Policy Learning and Off Policy Learning?

In real life, off policy learning is the thing that we have because we don't have much of a choice. And also, depending on different areas of application, like economics, it's just impossible to run experiments. So i guess in some sense, we should celebrate that the on policy approaches did give you the optimal policy you were expecting. But then really begs the question to dig into. What about off policy approaches? Do you think we're limiting there? Why couldn't the optimal policy be found under those conditions? Yes, we'll call it adraw. As the black mit says in montipyte,. We'll call it a dor between the cynics of varall

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