Feature Selection As Reinforcement Learning
Bandit based Reinforcement Learning applied on Feature selection, a Monte Carlo search tree algorithm is trained to find the best feature subset on various training set.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Snakefusion | 715 | 4 years ago | 9 | Processing | ||||||
| Using the genetic algorithm and neural networks I trained up 5 snakes who will then fuse to become the ultimate snake, this is how I did it | ||||||||||
| Feature Selection As Reinforcement Learning | 10 | 3 years ago | 2 | C++ | ||||||
| Bandit based Reinforcement Learning applied on Feature selection, a Monte Carlo search tree algorithm is trained to find the best feature subset on various training set. | ||||||||||
| Mcl_pi | 5 | 4 years ago | apache-2.0 | Python | ||||||
| Cooperative localization algorithm, applied in ROS. Using the particles intersection algorithm to fuse the particles each MCL produces. | ||||||||||
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