16a31e2c9fedc654e9117b42b8144adf1d0e4900,examples/reinforcement_learning/tutorial_A3C.py,,,#,259
Before Change
plt.plot(GLOBAL_RUNNING_R)
plt.xlabel("episode")
plt.ylabel("global running reward")
plt.savefig("a3c.png")
plt.show()
GLOBAL_AC.save_ckpt()
After Change
GLOBAL_AC.save()
plt.plot(GLOBAL_RUNNING_R)
if not os.path.exists("image"):
os.makedirs("image")
plt.savefig(os.path.join("image", "a3c.png"))
if args.test:
// ============================= EVALUATION =============================
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: tensorlayer/tensorlayer
Commit Name: 16a31e2c9fedc654e9117b42b8144adf1d0e4900
Time: 2020-02-03
Author: 34995488+Tokarev-TT-33@users.noreply.github.com
File Name: examples/reinforcement_learning/tutorial_A3C.py
Class Name:
Method Name:
Project Name: danforthcenter/plantcv
Commit Name: 934b0e505169c80fb0e068aa45add2277ee2b721
Time: 2016-04-25
Author: noahfahlgren@gmail.com
File Name: lib/plantcv/analyze_NIR_intensity.py
Class Name:
Method Name: analyze_NIR_intensity
Project Name: theislab/scanpy
Commit Name: a6c89e9fab32e1e125ade7c2fc58e226ceb77ee5
Time: 2017-07-23
Author: f.alex.wolf@gmx.de
File Name: scanpy/plotting/tools.py
Class Name:
Method Name: sim