Show HN: Watch a neural net learn to play Snake (ppo.gradexp.xyz)

A recent project showcased on Hacker News highlights a neural network learning to play the classic game Snake, demonstrating the capabilities of deep reinforcement learning in a fun and engaging way. Users can observe the AI as it trains in real-time, with interactive features allowing for adjustments in training parameters, such as learning rates and grid sizes. The live updates enable viewers to see how changes impact the learning process, making it a compelling educational tool for both enthusiasts and practitioners in AI and machine learning. This project is significant for the AI/ML community as it not only illustrates the practical application of neural networks in gaming but also emphasizes the use of experiments to fine-tune hyperparameters for optimal performance. By providing a transparent view of the training process and allowing users to modify settings on the fly, the project serves as a valuable resource for understanding the intricacies of machine learning algorithms and their adaptability. This hands-on experience could inspire further exploration of AI in interactive environments and foster greater engagement in AI education.