How to Log, Explore, Compare the RL Agent Training Metadata
What will you learn?
How you can log, explore and compare the RL agent training metadata in Neptune.
-
Introduction to the CartPole RL problem
-
How to connect to Neptune and create a run?
-
Logging metadata in a hierarchical structure
-
How to log charts, metrics, agent-specific metadata to Neptune?
-
How to log images and other artifacts to Neptune?
-
Logging a series of images
-
Uploading the model
-
What will the results look like in the Neptune UI?
-
Some visualizations of the input screen and the training episode
-
Exploring the dashboards
Other useful resources
See also the article to learn how to make sense of the reinforcement learning agents.Ā
More about How to Log, Explore, Compare the RL Agent Training Metadata
See also
What is a Project in Neptune?
See also
Model Training: Detectron2 + neptune.ai Integration [Example]
See also
Model Training: Prophet + neptune.ai Integration [Example]
See also
Create AzureML Pipeline – Workshop with Aurimas GriciÅ«nas
Explore more resources:
Content type
Area of interest
Area of interest
Couldnāt find the use case you were looking for?
Just get in touch, and our ML team will create a custom demo for you.
