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學生對 阿尔伯塔大学 提供的 Sample-based Learning Methods 的評價和反饋

596 個評分
123 條評論


In this course, you will learn about several algorithms that can learn near optimal policies based on trial and error interaction with the environment---learning from the agent’s own experience. Learning from actual experience is striking because it requires no prior knowledge of the environment’s dynamics, yet can still attain optimal behavior. We will cover intuitively simple but powerful Monte Carlo methods, and temporal difference learning methods including Q-learning. We will wrap up this course investigating how we can get the best of both worlds: algorithms that can combine model-based planning (similar to dynamic programming) and temporal difference updates to radically accelerate learning. By the end of this course you will be able to: - Understand Temporal-Difference learning and Monte Carlo as two strategies for estimating value functions from sampled experience - Understand the importance of exploration, when using sampled experience rather than dynamic programming sweeps within a model - Understand the connections between Monte Carlo and Dynamic Programming and TD. - Implement and apply the TD algorithm, for estimating value functions - Implement and apply Expected Sarsa and Q-learning (two TD methods for control) - Understand the difference between on-policy and off-policy control - Understand planning with simulated experience (as opposed to classic planning strategies) - Implement a model-based approach to RL, called Dyna, which uses simulated experience - Conduct an empirical study to see the improvements in sample efficiency when using Dyna...



Jan 10, 2020

Really great resource to follow along the RL Book. IMP Suggestion: Do not skip the reading assignments, they are really helpful and following the videos and assignments becomes easy.


Oct 03, 2019

Great course! The notebooks are a perfect level of difficulty for someone learning RL for the first time. Thanks Martha and Adam for all your work on this!! Great content!!


51 - Sample-based Learning Methods 的 75 個評論(共 122 個)

創建者 Roberto M

Mar 28, 2020

The course is well organized and teachers provide a lot of examples to facilitate comprehension.

創建者 Wang G

Oct 19, 2019

Very Nice Explanation and Assignment! Look forward the next 2 courses in this specialization!

創建者 Sodagreenmario

Sep 18, 2019

Great course, but there are still some little bugs that can be fixed in notebook assignments.

創建者 Chris D

Apr 18, 2020

Very good. Minor issues with inconsistency between parameter naming in different exercises.

創建者 koji t

Oct 07, 2019

I made a lot of mistakes, but I learned a lot because of that.

It ’s a wonderful course.

創建者 Louis S

Jun 05, 2020

Excellent content. The fact that it follows Sutton and Barto's TextBook is a must.

創建者 Ding L

Apr 24, 2020

By taking the class, I learned much more than only reading the textbook.

創建者 Ofir E

Mar 22, 2020

Amazing course, truly academy-grade. And RL is such a fascinating topic!

創建者 Sourav G

Mar 10, 2020

It was a very good course. All the concepts were explained very well.

創建者 Animesh

May 28, 2020

this course is very well designed and executed. wow! i loved it :D

創建者 Li W

Mar 30, 2020

Very good introductions and practices to the classic RL algorithms

創建者 DEEP P

Jul 08, 2020

Great learning Experience and really helpful lecturers and staff.

創建者 Rajesh

Jul 02, 2020

Please make assignments more explanatory and allow flexiblity

創建者 David P

Nov 03, 2019

Really a wonderful course! Very professional and high level.

創建者 Teresa Y B

Apr 10, 2020

Very well structured course, Thanks for so nice preparing!!

創建者 Shi Y

Nov 10, 2019


創建者 Alex E

Nov 19, 2019

A fun an interesting course. Keep up the great work!

創建者 garcia b

Dec 31, 2019

very copacetic. excellent complement to the book

創建者 Ignacio O

Oct 13, 2019

Great, informative and very interesting course.

創建者 Ashish S

Sep 16, 2019

A good course with proper Mathematical insights

創建者 Cheuk L Y

Jul 03, 2020

Very good overall! It takes time to digest.


Jan 15, 2020

A nice course with well-designed homework:)

創建者 Jingxin X

May 27, 2020

Very helpful follow up tot he first one.

創建者 Sriram R

Oct 21, 2019

Well done mix of theory and practice!

創建者 Luiz C

Sep 13, 2019

Great Course. Every aspect top notch