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Results tagged with reinforcement-learning
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user 238326
A set of dynamic strategies by which an algorithm can learn the structure of an environment online by adaptively taking actions associated with different rewards so as to maximize the rewards earned.
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Deriving REINFORCE algorithm from policy gradient theorem for the episodic case
@flush_bingo you can get $\frac{\partial r(s',s,a)}{\partial \theta_1} = 0$ by considering the classical definition of partial derivative i.e.
for a given tuple of $(s',s, a)$
$$\frac{\partial r(s',s …
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