This repository contains code and data for the paper of conditional generative adversarial imitation learning (cGAIL) accepted by ICDM2019.
The data can be found in the dropbox folder.
python main.py --cgail --D-lr 1e-3 --num-process 1
-
Notifications
You must be signed in to change notification settings - Fork 1
XinZhang525/cGAIL
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
This repository contains code and data for the paper of conditional generative adversarial imitation learning (cGAIL) accepted by ICDM2019.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published