R.I.P.
๐ป
Ghosted
On evolutionary selection of blackjack strategies
November 16, 2017 ยท Declared Dead ยท ๐ arXiv.org
Authors
Mikhail Goykhman
arXiv ID
1711.05993
Category
cs.NE: Neural & Evolutionary
Citations
1
Venue
arXiv.org
Repository
https://github.com/Goykhman/Blackjack_evolution
Last Checked
2 months ago
Abstract
We apply the approach of evolutionary programming to the problem of optimization of the blackjack basic strategy. We demonstrate that the population of initially random blackjack strategies evolves and saturates to a profitable performance in about one hundred generations. The resulting strategy resembles the known blackjack basic strategies in the specifics of its prescriptions, and has a similar performance. We also study evolution of the population of strategies initialized to the Thorp's basic strategy.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Neural & Evolutionary
R.I.P.
๐ป
Ghosted
Progressive Growing of GANs for Improved Quality, Stability, and Variation
R.I.P.
๐ป
Ghosted
Learning both Weights and Connections for Efficient Neural Networks
R.I.P.
๐ป
Ghosted
LSTM: A Search Space Odyssey
R.I.P.
๐ป
Ghosted
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
R.I.P.
๐ป
Ghosted
An Introduction to Convolutional Neural Networks
Died the same way โ ๐ 404 Not Found
R.I.P.
๐
404 Not Found
Deep High-Resolution Representation Learning for Visual Recognition
R.I.P.
๐
404 Not Found
HuggingFace's Transformers: State-of-the-art Natural Language Processing
R.I.P.
๐
404 Not Found
CCNet: Criss-Cross Attention for Semantic Segmentation
R.I.P.
๐
404 Not Found