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Hi,
I'm very interested in your research and would like to run your code, but I've encountered a few issues.
1. While following the README, I attempted to perform Consistency-based Reinforcement L…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Combine multiple models using ensemble techniques such as bagging, boosting, or stacking. …
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- Bagging
- Boosting
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**Is your feature request related to a problem? Please describe.**
I have a feeling that the reduction used for computing the TD error over ensembles of Q functions should be a mean rather than a sum…
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- [ ] [GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data | OpenReview](https://openreview.net/forum?id=XEFWBxi075)
# GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
## …
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Thank you for presenting this interesting result. You made a good example for applying machine learning into political science and there must be huge amount of research opportunities ahead.
Also th…
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**Problem Description:**
I aim to predict a risk score indicating each individual's likelihood of loan default or financial instability. This helps financial institutions make better lending decisi…
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Problem Description:
The current house price prediction model achieves 68% accuracy, which is suboptimal for this regression task. The model relies on a standard multiple linear regression approach…
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Since the code does not provide an ensemble learning option, it seems that I need to implement it by myself. But it is very hard to do so because I can't access to the detailed decoding process. So ho…