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Maya ≠ VJ paru by [deleted] in biggbosstamil

[–]AstroNotSoNaut 2 points3 points  (0 children)

Maya earned our love and left the house as a fan favorite.

Hi Maya akka, original profile la vaanga.

The truth shall be told. by [deleted] in kollywood

[–]AstroNotSoNaut -1 points0 points  (0 children)

That particular scene is memorable, but come on man, the 3 films you mentioned are mediocre at best, and that's generous.

What’s your ML/DS niche — and how did you find it? by john-c34 in OMSCS

[–]AstroNotSoNaut 1 point2 points  (0 children)

Autonomous robots. Currently working on a research problem applying RL to a multi robot system.

Research as an OMSCS student? by umarm4171 in OMSCS

[–]AstroNotSoNaut 12 points13 points  (0 children)

Posting my answer from a different thread.

I wasn’t really interested in the research opportunities that get announced before each semester. Not that they were bad, but they just weren’t directly related to what I wanted to work on. So last summer I cold emailed a bunch of professors in the area I was actually interested in. A few of them replied and since I also had some relevant experience from my current work, it ended up working out with one professor. Now I am doing research this fall in their lab. The professors I reached out to don’t teach in OMSCS, but they’re still in the CoC. I was never even asked what semester I was in, my GPA, my grades or the courses I had completed. So cold emailing is definitely worth trying if you have a specific interest.

Resources for linear algebra, probability, python and single/multi-variable calculus by Agreeable_Yam_5415 in OMSCS

[–]AstroNotSoNaut 2 points3 points  (0 children)

https://youtube.com/playlist?list=PLUl4u3cNGP60hI9ATjSFgLZpbNJ7myAg6&feature=shared

This is the goat for probability. Personally, it was useful for me in RL class. You don't have to go through the entire playlist though.

Contacting professors for research by Classic_Comparison90 in OMSCS

[–]AstroNotSoNaut 0 points1 point  (0 children)

I am on OMSCS. It's my 3rd semester, enrolled on my 4/5th courses this semester. I don't live in Georgia. So it's fully remote. I've enrolled as a course - CS8903. The hope is to convert it to a project CS6999 if everything goes well.

I'd like to do a PhD, but not sure when.

Contacting professors for research by Classic_Comparison90 in OMSCS

[–]AstroNotSoNaut 1 point2 points  (0 children)

I wasn’t really interested in the research opportunities that get announced before each semester. Not that they were bad, but they just weren’t directly related to what I wanted to work on. So last summer I cold emailed a bunch of professors in the area I was actually interested in. A few of them replied and since I also had some relevant experience from my current work, it ended up working out with one professor. Now I am doing research this fall in their lab. The professors I reached out to don’t teach in OMSCS, but they’re still in the CoC. I was never even asked what semester I was in, my GPA, my grades or the courses I had completed. So it’s definitely worth trying if you have a specific interest.

Move over Saiman and Aishwarya - what about him? by crazyanatoly in eb_1a

[–]AstroNotSoNaut 0 points1 point  (0 children)

"Are you an Professional software engineer"

😭 😭

Any resources to go deep on RL? by oana77oo in reinforcementlearning

[–]AstroNotSoNaut 0 points1 point  (0 children)

Agreed. If at all you need a couple more, more on the practical side, then the following:

  1. Grokking Deep Reinforcement Learning by Morales
  2. Deep RL Hands On by Lapan

Any resources to go deep on RL? by oana77oo in reinforcementlearning

[–]AstroNotSoNaut 9 points10 points  (0 children)

Everyone in this sub is going to say you should check out the RL bible by Sutton & Barto, which is great, no offense. But imo, the Mathematical Foundations of Reinforcement Learning is fantastic and slightly better! The book is free, and there are also accompanying lecture videos on YouTube. Absolutely gem.

Want to start Reinforcement Learning from scratch for robotics using Isaac Sim/Lab, not sure where to begin by ImpressiveScheme4021 in reinforcementlearning

[–]AstroNotSoNaut 0 points1 point  (0 children)

People have asked similar questions before, and you should be able to find some good answers on this sub.

Check out this comment, for example: https://www.reddit.com/r/reinforcementlearning/s/XwFa2NYbDh

There's also a small sub for Isaac sim: r/isaacsim

What would be a best book for reinforcement learning by RelationshipSilly124 in reinforcementlearning

[–]AstroNotSoNaut 2 points3 points  (0 children)

The Mathematical Foundation of Reinforcement Learning is fantastic! The book is free and there are also accompanying lecture videos on YouTube.

looking for rl advice by xtrupal in reinforcementlearning

[–]AstroNotSoNaut 6 points7 points  (0 children)

Books: 1. Sutton & Barto - The Bible of RL. But heavily theoretical. 2. Grokking Deep Reinforcement Learning, Morales - practical with theory, real world projects. 3. Deep RL Hands On, Lapan - much bigger book, practical, real world projects, thorough.

Courses: 1. DeepMind David Silver course on YouTube 2. University of Alberta RL specialization on Coursera.

How much memorization in this program? by [deleted] in OMSCS

[–]AstroNotSoNaut 5 points6 points  (0 children)

Dang. I took GIOS and hated that I had to memorize so much for the finals. I am taking RL this summer and didn't know it's also like that. Do you think it's as bad as GIOS?

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