Fast Deep Reinforcement Learning Course

Learning and science

online course

SHOW HN2022

148points
37comments
#406of 2,570 in 2022
Top 16%of 2022 by points

How HN took it

MixedNo clear lean

6 positive, 3 neutral or asking, 2 mixed, 2 critical, out of 13 comments about the project. Thread score +0.26.

Design: 3 for, 0 againstIdea: 1 for, 1 againstExecution: 0 for, 1 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Well-structured course with crisp presentation and good illustrations

    From 3 comments
    • Enrolled! Went through the detailed lesson plan and you have done a great job structuring the course. I am looking forward to doing it over the weekend. One suggestion: Instead…
      robinson_k on HN
    • Congrats on the launch. I have seen your Deep RL tutorials circulating on YouTube. I like your presentation style: crisp and precise.
      superfreek on HN
    • I love the illustrations in the slides. How long did it take you to learn flip chart drawing and how did you do the overlays in LaTeX?
      Fletch137 on HN
  • RLlib maker praised the course

    From 1 comment

Objections

  • Courses teach API usage rather than fundamental theory

    From 1 comment
    • This looks nicely done, but for anyone interested I'd like to mention that these courses aren't something that can replace learning the fundamental concepts and theories behind…
      mywaifuismeta on HN
  • RLlib is hard to modify for custom algorithms

    From 2 comments
    • To be honest though, the practical side of things of RL can be a hit-and-miss in terms of "fun" depending on the person. It requires a lot of manual hand tuning, reward shaping,…
      cyber_kinetist on HN
    • Ah, good to meet here. I had experience using RLlib while participating in research back at grad school (which eventually became a SIGGRAPH conference paper this year!), and I've…
      cyber_kinetist on HN
  • Course pages blocked in Edge and strict tracking protection

    From 2 comments
    • When I visit the site using Edge, even with Adblockers disabled, I'm unable to view the courses listed as "preview", such as…
      thrill on HN
    • I am sorry about that. Unfortunately, the same thing happens in Firefox when the tracking protection is set to "strict". This is apparently happening after Teachable updated…
      gh1 on HN

Requests

  • Name notebooks uniquely so downloads do not overwrite

    From 1 comment
    • Enrolled! Went through the detailed lesson plan and you have done a great job structuring the course. I am looking forward to doing it over the weekend. One suggestion: Instead…
      robinson_k on HN

Questions

  • Does the course use high-level Gym or lower-level code

    From 1 comment
    • Thank you for doing this! I haven't looked deeply enough, but does this course use a higher-level 'package' such as OpenAI Gym or teach at a lower-level? (Is lower-level stuff…
      pciexpgpu on HN
  • Does the course cover transformers

    From 1 comment
    • Would this teach transformers? Or is that something else? Also any tips for finding a study group for learning the large language models? I can’t seem to self motivate.
      mrfusion on HN

Alternatives named

  • Sutton and Barto book

    From 2 comments
    • IMO the best intro book is Sutton's [1], it's extremely accessible (little math background needed) and covers all basic concepts. Work through David Silver's course (search…
      mywaifuismeta on HN
    • HF covers Decision Transfomers. Sutton and Barto is the best start for foundations. Start there.
      axpy906 on HN
  • David Silver RL course

    From 1 comment
    • Before jumping into Deep Reinforcement Learning I highly recommend doing the Reinforcement Learning course by David Silver [1]. [1]…
      Asafp on HN
  • Stable Baselines 3

    From 1 comment
    • To be honest though, the practical side of things of RL can be a hit-and-miss in terms of "fun" depending on the person. It requires a lot of manual hand tuning, reward shaping,…
      cyber_kinetist on HN
  • Hugging Face deep RL class

    From 1 comment
    • May also be of interest: https://github.com/huggingface/deep-rl-class
      abidlabs on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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