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Neil Slater
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How to get rid of the expectation in Monte Carlo Policy Gradient method  ?

Taken from Policy Gradient lecture notes, slide 16 onward:

enter image description here

Here in the David Silver Lecture series I perfectly understand how he took the expectation value in the theorem part by combining the following equation .

enter image description here

But how he removed the expectation part when talking stochastic gradient decent ?

How to get rid of the expectation in Monte Carlo Policy Gradient method  ?

enter image description here

Here in the David Silver Lecture series I perfectly understand how he took the expectation value in the theorem part by combining the following equation .

enter image description here

But how he removed the expectation part when talking stochastic gradient decent ?

How to get rid of the expectation in Monte Carlo Policy Gradient method?

Taken from Policy Gradient lecture notes, slide 16 onward:

enter image description here

Here in the David Silver Lecture series I perfectly understand how he took the expectation value in the theorem part by combining the following equation .

enter image description here

But how he removed the expectation part when talking stochastic gradient decent ?

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How to get rid of the expectation in Monte Carlo Policy Gradient method ?

enter image description here

Here in the David Silver Lecture series I perfectly understand how he took the expectation value in the theorem part by combining the following equation .

enter image description here

But how he removed the expectation part when talking stochastic gradient decent ?