Intelligent Web Scraping Framework with Machine Learning Adaptation

Develop a sophisticated TypeScript web scraping framework that uses machine learning techniques to dynamically adapt to changing website structures. Implement advanced selector strategies, support for handling complex JavaScript-rendered content, and automatic bot detection avoidance mechanisms. The framework should include intelligent retry logic, proxy rotation, user-agent randomization, and the ability to learn and improve scraping strategies over time using reinforcement learning principles. Create comprehensive type definitions to ensure type safety across all components.