Interactive Learning Pathway Optimization Engine

Build a sophisticated Python application that uses reinforcement learning algorithms to optimize individual learning experiences. Develop a system that can track learner interactions, assess knowledge retention, and dynamically adjust learning content difficulty and presentation style. Implement a recommendation engine using scikit-learn that predicts optimal learning sequences and identifies potential knowledge gaps in real-time.