Course Topic:
Deep Reinforcement Learning, Convolutional neural networks, Generative adversarial networks and transformers
Course Description：
The course will describe state of art potentialities of deep reinforcement learning. The course focuses on fundamentals of reinforcement learning and deep learning (CNN including convolutional neural networks, graph neural networks, generative neural networks and transformers.), practical examples in robotics and games. The aim is to help the student to develop research skills and a vision on advanced fields of deep learning, be able to write software and to understanding the field relationships with other fields and its potentialities; how to write an essay.
Calendar：
Schedule | Topics |
| Course Introduction and Greetings Objective：Fundamentals Description：Markov decision process, Bellman equation, relationships between value, policy, environment |
| Objective：Policy gradients Description：actor critic, Reinforce algorithm, MonteCarlo, Dynamic programming, etc practice (openAI gym); examples from robot swarms. |
| Objective：Multi agent, Practice Description：MARL, applications in games, robotics, image; network learning, general AI, interpretability, explainability,. |
| Objective：Applications, Practice Description：cognitive behavior for agents; human heuristics in robots; self supervising approaches; machine reasoning; |
| Objective: Theory, Applications, Practice Description：Convolutional and graph neural networks |
| Objective : Theory, Applications, Practice Description：Generative adversarial networks |
| Objective; Theory, Applications, Practice Description：Transformers |
Course date:
2023.7.31 – 2023.8.12
Project Harvest:
Official Certificate Transcript
Language requirements
TOEFL 79, IELTS 6.0, or CET-4 500, or CET-6 470, or passing College 4/8, or Duolingo100.
The total project cost : approximately RMB 31500
The fees include: tuition fees, campus accommodation, use of school facilities, meals (approximately two meals per day, as well as dinner and afternoon tea arranged by the project), cultural experience activities, medical and accident insurance, shuttle flights, and project service fees
Expenses do not include: international airfare, UK visa fees, and other personal expenses
Registration Contact
Limited quota, priority registration, priority admission
Teacher Yin
17792825572 (WeChat account)
