Be warned: super addictive!
A simple but challenging game, suitable for all ages. We use AI to deliver a gaming experience fine-tuned to your own skill.
[Features]
- Gorgeous minimalistic design
- Multiple color themes
- Dynamic level design powered by AI
[Instructions]
- Tap your finger to shoot an arrow onto the spinning wheel.
- Make sure to avoid hitting the other arrows.
- Shoot all the arrows to pass the level.
[Designed by AI]
We use AI and state-of-the-art machine learning algorithms to deliver a fully customized gaming experience, fine-tuned to your own skill. Here is how we do it:
- We designed multiple features that controls the difficulty of the game, such as the arrow count, speed of the wheel, and if the wheel changes directions;
- We modeled multiple aspect of the gameplay outcome (such as win or lose, time spent, winning streak count) using logistic regression, with the parameters above;
- We trained the model using 2,000+ real human gameplays, and used the preset parameters as the starting point for the first 10 levels;
- Based on your actual gameplay, and use reinforcement learning to further adjust the parameters of the model;
- Note that all these algorithms run on and stay at your local devices.
A simple but challenging game, suitable for all ages. We use AI to deliver a gaming experience fine-tuned to your own skill.
[Features]
- Gorgeous minimalistic design
- Multiple color themes
- Dynamic level design powered by AI
[Instructions]
- Tap your finger to shoot an arrow onto the spinning wheel.
- Make sure to avoid hitting the other arrows.
- Shoot all the arrows to pass the level.
[Designed by AI]
We use AI and state-of-the-art machine learning algorithms to deliver a fully customized gaming experience, fine-tuned to your own skill. Here is how we do it:
- We designed multiple features that controls the difficulty of the game, such as the arrow count, speed of the wheel, and if the wheel changes directions;
- We modeled multiple aspect of the gameplay outcome (such as win or lose, time spent, winning streak count) using logistic regression, with the parameters above;
- We trained the model using 2,000+ real human gameplays, and used the preset parameters as the starting point for the first 10 levels;
- Based on your actual gameplay, and use reinforcement learning to further adjust the parameters of the model;
- Note that all these algorithms run on and stay at your local devices.
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