Monte Carlo Policy Gradient implementation in Julia using Flux.jl
-
Updated
Oct 8, 2019 - Julia
Monte Carlo Policy Gradient implementation in Julia using Flux.jl
A Julia package for differentiating through expectations with Monte-Carlo estimates
Optimal Importance Sampling for Diffusion processes applied to ISOKANN.
Add a description, image, and links to the reinforce topic page so that developers can more easily learn about it.
To associate your repository with the reinforce topic, visit your repo's landing page and select "manage topics."