This is an implementation of SAC using TF agent. The code is primarily borrowed from this example: https://github.com/tensorflow/agents/blob/master/tf_agents/agents/sac/examples/v2/train_eval.py. This repo splits the single file into classes and modules. Serves as reference for optimized workflow of RL models in general.
-
Notifications
You must be signed in to change notification settings - Fork 0
Implementation of SAC using TF Agent. Used as reference for optimized workflow of RL models.
License
LeoZDong/sac
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Implementation of SAC using TF Agent. Used as reference for optimized workflow of RL models.
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published