# Analysis of Evolutionary Program Synthesis for Card Games

arXiv: https://arxiv.org/abs/2101.03172 · HTML: https://mlsanity.com/paper/2101.03172/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 4 references that are in the map.
- First posted on arXiv 8 Jan 2021.

## Builds on (most cited first, 1 of 1)

- [An Evolutionary Framework for Automatic and Guided Discovery of Algorithms](https://mlsanity.com/paper/1904.02830/) (2019)

## Abstract (arXiv)

In this report, we inspect the application of an evolutionary approach to the game of Rack'O, which is a card game revolving around the notion of decision making. We first apply the evolutionary technique for obtaining a set of rules over many generations and then compare them with a script written by a human player. A high-level domain-specific language is used that deter-mines which the sets of rules are synthesized. We report the results by providing a comprehensive analysis of the set of rules and their implications.
