Trackmania AI Defies Expectations - Surpasses Human Pros

Trackmania AI Defies Expectations - Surpasses Human Pros

Table of Contents

1. Introduction
2. Training the AI
3. Challenges Faced by the AI
4. Progress of the AI
5. Comparison with Human Players
6. Future Improvements
7. Conclusion
8. FAQ

Introduction

Trackmania is a popular racing Game that has gained attention in the AI community with the development of AI agents capable of playing the game. In this video, we will explore how our AI agent is trained to play Trackmania. We will also witness its progress as it faces challenges and compare its performance with human players.

Training the AI

Our AI agent is trained from scratch, meaning it has no prior knowledge of the game or racing. It learns through repeated interactions with the game, using a process of trial and error over thousands of races. By providing rewards or punishments based on its performance, the AI tries to maximize its reward. A neural network predicts the expected reward based on the action taken by the AI. This training is done using grayscale screenshots and information extracted from the game engine.

Challenges Faced by the AI

Throughout its training, the AI faces various challenges on the racetrack. It starts with understanding the racetrack layout and gradually learns to navigate difficult sections such as jumps, elevated roads without walls, and obstacles placed in the middle of the road. The AI needs to learn the optimal strategy for each challenge and make decisions based on predicted rewards.

Progress of the AI

As the AI progresses in its training, it starts to finish races consistently and improve its race time. We can measure its progress by observing the rewards it expects to receive and the different key combinations it prefers. With each milestone achieved, the AI becomes more confident in its estimation of future rewards. After several hours of training, the AI surpasses both the game's gold medal and the creators of the video.

Comparison with Human Players

To evaluate the AI's performance, we compare its lines and race time with those of human players who have achieved similar results. Despite the AI's achievements, it is worth noting that even experienced human players would struggle to reach the same level of performance.

Future Improvements

While the AI has already exceeded expectations, there is still room for improvement. The team plans to explore algorithmic enhancements to make the AI even stronger. Increased frame rate might also contribute to better performance.

Conclusion

In this video, we witnessed the training and progress of an AI agent in playing Trackmania. The AI exceeded expectations by surpassing benchmarks and achieving impressive race times. With further improvements, the AI could reach even higher levels of performance.

FAQ

Q: How is the AI trained in Trackmania? A: The AI is trained through repeated interactions with the game, using rewards and punishments based on its performance.

Q: What challenges does the AI face during its training? A: The AI faces challenges such as jumps, elevated roads without walls, and obstacles placed in the middle of the road.

Q: How does the AI's performance compare to human players? A: The AI's performance surpasses both the game's gold medal and the creators of the video. Even experienced human players would struggle to reach the same level of performance.

Q: What are the future plans for improving the AI? A: The team plans to explore algorithmic enhancements and potentially increase the frame rate to further improve the AI's performance.