Turning classic games into Deep Reinforcement Learning environments offers a unique opportunity for research and competition, allowing AI to engage in AI vs AI and AI vs COM scenarios. The choice of a deep learning framework is crucial for success, with PyTorch being favored for its Pythonic nature and ease of use, supported by a wealth of resources and community support. While TensorFlow is popular in the industry for its production-ready tools, its setup, especially with GPU support on Windows, can be challenging. JAX is another option, though less discussed, it offers unique advantages in specific use cases. Understanding these frameworks and their nuances is essential for developers looking to leverage AI in gaming and other applications.
