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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

927 個評分
192 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...



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


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.


76 - Sample-based Learning Methods 的 100 個評論(共 188 個)

創建者 Wang G


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

創建者 Sodagreenmario


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

創建者 Chris D


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

創建者 Sirusala N S


The concepts were explained very clearly. The assignments were helpful in understanding.

創建者 koji t


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

It ’s a wonderful course.

創建者 Sérgio V C


A good course to learn the basics of Monte Carlo methods for RL, as well as TD-methods!

創建者 Louis S


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

創建者 Pruthvi J


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

創建者 Ding L


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

創建者 Ofir E


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

創建者 Fabrice L


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

創建者 Sourav G


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

創建者 Varun K R K


The best course available on entire world for reinforcement learning

創建者 Animesh


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

創建者 Li W


Very good introductions and practices to the classic RL algorithms

創建者 DEEP P


Great learning Experience and really helpful lecturers and staff.

創建者 Rudi C


Wonderful course, highly instructive, and follows the textbook!

創建者 Rajesh


Please make assignments more explanatory and allow flexiblity

創建者 alper d


Good course material and simplified explanations. Thank you.

創建者 David P


Really a wonderful course! Very professional and high level.

創建者 Teresa Y B


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

創建者 Shi Y



創建者 Alex E


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

創建者 Jicheng F


Martha and Adam are great instructors, great job!

創建者 garcia b


very copacetic. excellent complement to the book