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Results tagged with policy-gradients
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user 76030
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.
1
vote
$\gamma^t$ in REINFORCE update (Sutton-Barto RL book Exercise 13.2)
I dont understand why the $\gamma^t$ appears when you write the gradient with an expectation. Could you elaborate ? thank you
I agree with you with all the things up to that point
EDIT : to try to ans …
- 11
0
votes
$\gamma^t$ in REINFORCE update (Sutton-Barto RL book Exercise 13.2)
Went back to this question a year after, and after carefully reading your derivation, I don't understand why you can't define :
$$\mu_{\gamma}(s) = \frac{\eta_\gamma(s)}{\sum_{s'} \eta_\gamma(s')}$$
H …
- 11