Bhatnagar, S The Reinforce Policy Gradient Algorithm Revisited. In: UNSPECIFIED, p. 177.
![]() |
PDF
9th_Ind_con_con_2023. pdf - Published Version Download (203kB) |
Abstract
We revisit the Reinforce policy gradient algorithm that works with full cost returns obtained over random length episodes. We propose a new Reinforce type algorithm that estimates the policy gradient using a function measurement over a perturbed parameter using a smoothed functional based gradient estimator. We observe that even though we estimate the gradient of the performance objective using sample performance (and not the sample gradient), the algorithm converges to a neighborhood of a local minimum. We further describe the main convergence result. © 2023 IEEE.
Item Type: | Conference Paper |
---|---|
Publication: | 2023 9th Indian Control Conference, ICC 2023 - Proceedings |
Department/Centre: | Division of Electrical Sciences > Computer Science & Automation |
Date Deposited: | 16 May 2024 08:48 |
Last Modified: | 16 May 2024 08:48 |
URI: | https://eprints.iisc.ac.in/id/eprint/84513 |
Actions (login required)
![]() |
View Item |