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Currently, only the worst genome is removed. However, if we later implement a prioritised fitness variable, then it could happen that a genome is lucky enough to get points for its highest fitness, wh…
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Oct 30, 2020 at 4:03 PM
From Apple
2. 5 Performance: Software Requirements
5. 1.2 Legal: Privacy - Data Use and Sharing
Guideline 2.5.1 - Performance - Software Requirements
We noticed that y…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
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Codes for reproducing the issue:
```
from ellyn import ellyn
from sklearn.preprocessing import LabelEncoder
from pmlb import fetch_data
problem = 'breast-cancer-wisconsin'
X, y = fetch_data(p…
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Hello.
I have been using qli-Client 2.2.1 for quite some time without any problems.
I am running it on wsl2 of windows 11 with an ubuntu 22.04.5.
I mine with my nvidia 4090 GPU.
For the drivers,…
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アンケートの項目や解析方法を調べる
## Pre-Post
実験前に，SSQ を回答させ，ベースラインを測る
- Walking by Cycling: A Novel In-Place Locomotion User Interface for Seated Virtual Reality Experiences
- https://dl.acm.org/doi/ab…
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Hello All,
is there any example how to train an LSTM to play soccer and most important that the target is to make goals instead to just kick the ball around ? I just cant figure out a useful traini…
ghost updated
7 years ago
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is there a reason why the agents were implemented this way?
any paper that proves that it gives an advantage over the "normal" method (if bought/sold true -> only close position or nothing)?
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Mutant currently uses explicit convention based spec selection. There are no options to configure this behavior. The explicit approach is nice and works for most of the cases I cared about in the past…