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Implement the best practices from multi-agent Rl community and stablebaselines3 into our algorithm. Further analyse similarities between petting zoo multi-agent implementation to current RL implementa…
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![1](https://user-images.githubusercontent.com/65479151/226549749-49b2dbd0-a970-4d5a-9560-46c393fc1c6c.jpg)
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## Keyword: sgd
### A Convergence Theory for Federated Average: Beyond Smoothness
- **Authors:** Authors: Xiaoxiao Li, Zhao Song, Runzhou Tao, Guangyi Zhang
- **Subjects:** Machine Learning (cs.LG);…
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Asynchronous Successive Halving Algorithm (ASHA) is, as far as I can understand, a tweaked version of the Hyperband multi-fidelity intenstifier (aka [ early stopping | pruning | scheduler ] algorithm)…
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As I have learned the metalearning feature has about 30 fixed configurations to try out. How many configuration should a autosklearn fit task try out as a rule of thumb?
Some of my datasets let the l…
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### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `Calibrate…
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This journal paper can be followed for implementing new algorithms:
https://ieeexplore.ieee.org/abstract/document/9344597
After implementing some crucial methods, Metaheuristics.jl can also be u…
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Hello,
what is the **reference paper** for this repo?
Best.
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Hi,
The CSV (pasted below) is wrongly handled at some points.
It seems that when a number like 2013 or 2012 appears in the cell value, then it is considered as a date.
It is a bit agressive an…
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I'm glad you find the idea of MetaCoq as a fractal intriguing! It certainly resonates with several aspects of the system and how you envision using it with LLMs. Here are some additional thoughts to f…