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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

4.8
868 個評分
177 條評論

課程概述

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...

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DG
2021年2月14日

Excellent course that naturally extends the first specialization course. The application examples in programming are very good and I loved how RL gets closer and closer to how a living being thinks.

AA
2020年8月11日

Great course, giving it 5 stars though it deserves both because the assignments have some serious issues that shouldn't actually be a matter. All the other parts are amazing though. Good job

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76 - Sample-based Learning Methods 的 100 個評論(共 173 個)

創建者 Louis S

2020年6月5日

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

創建者 Pruthvi J

2021年2月7日

Excellent course, gives a decent theoretical and practical introduction to RL.

創建者 Ding L

2020年4月24日

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

創建者 Ofir E

2020年3月22日

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

創建者 Fabrice L

2020年11月14日

Things start to get interesting in this course of the specialization.

創建者 Sourav G

2020年3月10日

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

創建者 Animesh

2020年5月28日

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

創建者 Li W

2020年3月30日

Very good introductions and practices to the classic RL algorithms

創建者 DEEP P

2020年7月8日

Great learning Experience and really helpful lecturers and staff.

創建者 Rudi C

2020年7月21日

Wonderful course, highly instructive, and follows the textbook!

創建者 Rajesh

2020年7月2日

Please make assignments more explanatory and allow flexiblity

創建者 alper d

2021年1月17日

Good course material and simplified explanations. Thank you.

創建者 David P

2019年11月3日

Really a wonderful course! Very professional and high level.

創建者 Teresa Y B

2020年4月10日

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

創建者 Shi Y

2019年11月10日

最喜欢的Coursera课程之一,难度适中的RL课程,非常推荐,学习到了很多自学很难理解全面的知识。感谢老师和助教们!

創建者 Alex E

2019年11月19日

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

創建者 Jicheng F

2020年7月11日

Martha and Adam are great instructors, great job!

創建者 garcia b

2019年12月31日

very copacetic. excellent complement to the book

創建者 Ignacio O

2019年10月13日

Great, informative and very interesting course.

創建者 Ashish S

2019年9月16日

A good course with proper Mathematical insights

創建者 Cheuk L Y

2020年7月3日

Very good overall! It takes time to digest.

創建者 LIWANGZHI

2020年1月15日

A nice course with well-designed homework:)

創建者 Jingxin X

2020年5月26日

Very helpful follow up tot he first one.

創建者 Ryan

2021年1月17日

Better than reading the textbook alone.

創建者 Sriram R

2019年10月20日

Well done mix of theory and practice!