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學生對 阿尔伯塔大学 提供的 A Complete Reinforcement Learning System (Capstone) 的評價和反饋

325 個評分
68 條評論


In this final course, you will put together your knowledge from Courses 1, 2 and 3 to implement a complete RL solution to a problem. This capstone will let you see how each component---problem formulation, algorithm selection, parameter selection and representation design---fits together into a complete solution, and how to make appropriate choices when deploying RL in the real world. This project will require you to implement both the environment to stimulate your problem, and a control agent with Neural Network function approximation. In addition, you will conduct a scientific study of your learning system to develop your ability to assess the robustness of RL agents. To use RL in the real world, it is critical to (a) appropriately formalize the problem as an MDP, (b) select appropriate algorithms, (c ) identify what choices in your implementation will have large impacts on performance and (d) validate the expected behaviour of your algorithms. This capstone is valuable for anyone who is planning on using RL to solve real problems. To be successful in this course, you will need to have completed Courses 1, 2, and 3 of this Specialization or the equivalent. By the end of this course, you will be able to: Complete an RL solution to a problem, starting from problem formulation, appropriate algorithm selection and implementation and empirical study into the effectiveness of the solution....



Apr 28, 2020

This is the final chapter. It is one of the easiest and it was fun doing that lunar landing project. This specialisation is the best for a person taking baby steps in the reinforcement learning.


Feb 27, 2020

Great course for learning the fundamentals. I liked that it tied into function approximation for deep reinforcement learning. The text book made the fundamental concepts more clear.


26 - A Complete Reinforcement Learning System (Capstone) 的 50 個評論(共 68 個)

創建者 Gordon L W C

Apr 04, 2020

The course is applicative in real world projects. I think it is a very good choice for any one that is interested to learn how to apply reinforcement learning.

創建者 leonardo d

Jun 14, 2020

I was awesome to learn the theory and apply different RL algorithms successfully to solve basic problems that would be really hard to accomplish without RL.

創建者 Mohamed S R I

Mar 27, 2020

Thanks a lot for offering this specialization! I really enjoyed watching the videos and working on the assignments while exploring various topics of RL.

創建者 Bill F

Jul 11, 2020

Strongly recommend this course to others. The project could be a little more challenging though. Thanks, Martha, Adam, and RAs, for your good teaching!

創建者 Tyler B

Aug 02, 2020

Excellent Course. Completed specialization in 3 weeks, and deeply understood concepts from Sutton & Barto 2nd Ed. Thank you!

創建者 Mathew

Jun 07, 2020

Very well structured and a great compliment to the Reinforcement Learning (2nd Edition) book by Sutton and Barto.

創建者 Gustavo B T S

Jun 03, 2020

Excellent course!! The first lesson are more theoretical but they build a solid base for the practical ones.

創建者 koji t

Nov 18, 2019

This course was the best course for me as a beginner in reinforcement learning.

創建者 Roberto M

Mar 29, 2020

The project is well structured and very helpful to connect all the dots

創建者 Bhargav D P

Jul 09, 2020

It was tough. but provides best practice for the prior 3 courses.

創建者 DEEP P

Jul 08, 2020

Great learning Experience and really helpful lecturers and staff.

創建者 Guillaume C

May 14, 2020

Great online course with a good mix between theory and practice

創建者 Cheuk L Y

Jul 09, 2020

A great showcase of the power of deep reinforcement learning!

創建者 Michael S

Jun 06, 2020

Great exercise in practical implementation of basic RL.

創建者 Antonis S

Jun 20, 2020

Thank you for this wonderful RL journey!

創建者 Han-June K

Apr 27, 2020

Never be replaced! Thank you so much!

創建者 Andrew D G

Nov 14, 2019

Excellent course and specialization

創建者 Jose

Jun 29, 2020

excellent course

創建者 BC

May 06, 2020

Excellent course

創建者 Yanlin L

Apr 19, 2020


創建者 Chang, W C

Nov 09, 2019


創建者 Tran M D

May 22, 2020


創建者 A4

Jan 02, 2020


創建者 Yijie X

Apr 04, 2020

I will write a longer review for the entire Specialization later, but this course does well to sum up all of the other progress you've had made thus far on the Specialization. However, you'll find that from Course 2 onwards (and this one especially), very little hand holding is given for the programming assignments. Command of numpy and python at good level are expected. Personally, having worked with OpenAI gyms before starting this specialization helped me immensely. As the instructors state, this course lays the foundation for future studies. The field of RL is simply so complex that even foundational work is challenging. Overall, a great course.

創建者 Zhuang J

Jun 02, 2020

The project is a decent example to go through in order to review what we learned from previous courses. However there are few key things supposed to be addressed as well: 1) What exactly the reward function is in the final project (C4M1 practice is badly designed); 2) How can we build an environment on our own; 3) Apart from Mean Squared Value Error to be minimized, what are other loss functions to choose from and what's the consideration behind.