This is a Rust implementation of the famous 2048 game which runs in the terminal.
In addition to the standard user inputs, an AI can be used to perform the moves. This AI leverages the expectiminimax algorithm to recommend the best next move at each step.
Here are the statistics of the AI with its default parameters:
| max tile reached | frequency | |-----------------:|----------:| | 2048 | 100 % | | 4096 | 100 % | | 8192 | 96 % | | 16384 | 70 % | | 32768 | 10 % |
In particular, these statistics correspond to a minimum branch probability of 0.001.
Decreasing this value would lead to better performance, as more branches would be explored, but this would also take more time.
Some other hardcoded parameters can be tweaked in order to further improve the algorithm. I have not performed an exhaustive grid search, thus the parameter set is probably sub-optimal.
bash
cargo install play-2048
Then, in order to play:
bash
play-2048
```bash
git clone https://github.com/adrienball/2048-rs.git cd 2048-rs cargo run --release ```
You can change the probability of drawing a 4 tile:
```bash
play-2048 --proba-4 0.5 ```
Or adjust the minimum branch probability of the expectiminimax search:
```bash
play-2048 --min-branch-proba 0.0001 ```
To get the list of available options, simply run:
```bash
play-2048 --help ```
All original work licensed under either of * Apache License, Version 2.0 (LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0) * MIT license (LICENSE-MIT or http://opensource.org/licenses/MIT) at your option.
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