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Cambridge Deep Reinforcement Learning Programme
发布时间:2023-05-12

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)