Comments (2)
Hello, thank you for trying my tool ARES. I have just submitted the "reload-policy" module (please see the readme for more details).
Speaking about FATE, you need to modify the code inserting the hyper-parameters you want to test, and launch the scripts on your models. Once done, you need to compare the results, finding which combination of hyper-parameters is best for your scenario. At last, you can "port" the best hyper-parameters in ARES by modifying the script SACExploration.py.
You can look for the hyper-parameters on the documentation StableBaselines: https://stable-baselines.readthedocs.io/en/master/modules/sac.html
from ares.
Thank you very much for your detailed reply, it helps a lot.
from ares.
Related Issues (17)
- Some questions about running HOT 1
- Quick question about SACExploration.py HOT 4
- which version of appium should I install? HOT 5
- adb: error: failed to stat remote object '/mnt/sdcard/coverage.x': No such file or directory HOT 3
- Cannot start the 'com.android.insecurebankv2' application HOT 4
- Evaluate a trained model HOT 1
- Crash after the error "type numpy.ndarray doesn't define __round__ method"
- about the observation HOT 1
- Adb error - failed to access HOT 5
- Problem when running ARES HOT 2
- where can I get your app benchmark ? HOT 1
- how to use collect_coverage_emma and collect_coverage_jacoco
- Q Learning and random seem not work well HOT 8
- Some quetions about app experiment HOT 4
- Some questions about RL_application_env.py HOT 16
- ARES seems blocked HOT 4
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from ares.