Efficient Exploration through Bayesian Deep-Q Networks.
-
Updated
Mar 22, 2022 - Python
Efficient Exploration through Bayesian Deep-Q Networks.
Detailed implementations, Jupyter tutorials and complete packages to implement and test Probabilistic Bayesian Deep Learning models. The repository contains the software implementations of the techniques discussed in the review paper "Shedding light on uncertainties in machine learning: formal derivation and optimal model selection".
Add a description, image, and links to the bayesian-deep-networks topic page so that developers can more easily learn about it.
To associate your repository with the bayesian-deep-networks topic, visit your repo's landing page and select "manage topics."