Comments (5)
Thanks :-)
I'll add it asap (probably tomorrow)
from l2rpn-baselines.
Hello,
Sorry but we are targetting to open the new competition in 2 days and there are still a lot going on.
Could you help me check it ?
To check it:
- clone this repository
- type "git submodule add https://github.com/djmax008/GEIRINA_baseline l2rpn_baselines/Gerina"
And check the package can be imported. Fix all import issues (if any) and let me know when it's working.
Thanks
Benjamin
from l2rpn-baselines.
Hi Benjamin,
I have tried the code and it is working. I can import everything in l2rpn_baselines.Geirina
BTW, it should be "git submodule add https://github.com/djmax008/GEIRINA_baseline l2rpn_baselines/Geirina". You missed an 'i' there.
Thanks,
Jiajun
from l2rpn-baselines.
Thanks a lot :-) It's integrated.
Can you provide me with an short description that i could include in the readme ?
An example is:
- [SliceRDQN](/l2rpn_baselines/SliceRDQN):
A multi Recurrent Q-streams implementation.
Where each action class has it's own Q network embedded in the global net.
from l2rpn-baselines.
No problem
- [Geirina](/l2rpn_baselines/Geirina):
A double dueling deep Q network implementation.
Where it is similar to the champion agent of Geirina in L2RPN 2019 without imitation learning and more heuristic guidance learning is added.
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Related Issues (20)
- AttributeError: module 'grid2op' has no attribute 'make_new' HOT 3
- AttributeError: 'Tensor' object has no attribute 'numpy' HOT 1
- Question about Deep Q implementation HOT 2
- Failed to install via pypi on Windows HOT 1
- About the "DoubleDuelingDQN" baseline HOT 2
- Error while running the baselines HOT 3
- Tricks for fine-tuning the hyperparameters HOT 1
- Add issue template
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