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For questions related to reinforcement learning algorithms often referred to as "policy gradients" (or "policy gradient algorithms"), which attempt to directly optimise a parameterised policy (without first attempting to estimate value functions) using gradients of an objective function with respect to the policy's parameters.

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Why is policy gradient theorem so important?

I'm also a newbie in the field, so I just want to share my view. When I was understanding this problem, I divided the problem into two scenarios. Firstly, the scenario where we utilize a linear policy …
Jiangpeng Li's user avatar