A Reinforcement Learning course by Andrew Ng? | Coursera Community
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A Reinforcement Learning course by Andrew Ng?

  • 3 April 2019
  • 4 replies

Userlevel 3
Coursera has the most reputable online training in Machine Learning (from Stanford U, by Andrew Ng), a fantastic Deep Learning specialization (from deeplearning.ai, also by Andrew Ng) and now a practically oriented TensorFlow specialization (also from deeplearning.ai).

But it has very little offering in Reinforcement Learning, where Coursera clearly lags competition, even though it is hard to find quality online courses for a non-ridiculous price elsewhere. David Silver's recorded lectures at UCL are first class, as is Sutton and Barto's fantastic book, but this is not the same as a coursework with lessons, quizzes, exercises, assignments and perhaps a certificate in the end. Competitors offer online courses and nano-degrees, but it is hard to assess the quality of the teachers and material, and the cost is sometimes unreasonable, to say the least.

I really hope that Coursera will soon produce a specialization up to Andrew Ng's standard on RL, as this is currently and very visibly missing from its catalog. If it was taught by Andrew Ng in person, I would sign up immediately, no questions asked, as, I think, would the thousands of others who followed his offerings in ML and DL.

4 replies

Userlevel 7
Badge +13
Thanks for this thoughtful suggestion, @antoinesavine. I'm tagging our data science content strategy expert @Vidisha here, too.
Userlevel 4
Badge +4
Hello everyone,

I'm interested in this topic, and I suggest to design an introductory course on RL at Coursera, especially after I checked the autonomous helicopter flight project by Stanford University:
autonomous helicopter flight project
followed by the paper published by Andrew Ng describing the project:
Autonomous helicopter flight via reinforcement learning
Userlevel 7
Badge +13
Thanks, @Mo Rebaie! Make sure you vote for @antoinesavine's course suggestion (if you haven't already).
Userlevel 4
Badge +4
Thank you, I already did it.