Научная литература:
1. "Глубокое обучение с подкреплением: теория и практика на языке Python";
2. "Мультиагентное обучение с подкреплением";
3. "Transformers for Machine Learning: A Deep Dive";
4. "Natural Language Processing with Transformers";
5. "Applying Reinforcement Learning on Real-World Data with Practical Examples in Python";
6. "PRIMA 2022: Principles and Practice of Multi-Agent Systems";
7. "Offline Meta-Reinforcement Learning for Industrial Insertion" и так далее. (jan 1, 2022 – may 15, 2023)