indweller
indweller on Hacker News
Location: Los Angeles, CA
Remote: Office/Hybrid/Remote
Willing to relocate: Yes, within CA - prefer Bay Area
Technologies: Reinforcement Learning, Robotics - Python, Pytorch, Isaac Lab, MuJoCo, C++, ROS, HTML/CSS/JS
Résumé/CV: https://indweller.github.io/assets/Prashanth-Ravichandar-Resume.pdf
Email: rprash99[at]gmail[dot]com
Website: https://indweller.github.io/
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I hold an MS in CS from the USC. Before joining USC, I worked as a Software Developer at Morgan Stanley for two years. I graduated from the Indian Institute of Technology (IIT) Guwahati with a B.Tech in Engineering Physics and a minor in Computer Science and Engineering.
I’ve worked with humanoid locomotion, deep learning, and RL for robotics - paper submitted to ICRA on dynamic loco-manipulation (like playing soccer) - https://indweller.github.io/ogmplm
I've work authorization and am looking for a 6-month internship from January-June 2025.
What should be added/removed in this post given that it's been 5 years?
This is amazing! Can you extend this to a) allow choosing regions and b) provide some weekly digest kind of thing where the news items from the past week are summarized?
Also, what's your source of info btw?
Are all the assignments self-graded or do we have to be enrolled at MIT to submit somewhere and see if our code is correct?
Where do you keep the rest of the things that you need to do at some time? Like do you mainatin some other list of all the things that need/want to do, but not necessarily do today?
Where do you keep the rest of the things that you need to do at some time? Like do you mainatin some other list of all the things that need/want to do, but not necessarily do today?
Yeah, I get it now. Thanks!
Can someone explain why trie is not faster than hash table?
Focus on the means rather than the end. This takes off the pressure and helps you work efficiently so that you achieve your goal, instead of just dreaming about it. It also helps overcome procrastination.
Your blog is a great resource. Especially the fact that you've linked other blogs and links is really helpful.
In the blog, he refers to test losses at an early stage, like in "add significant digits to your eval". Does he actually refer to the test data or is he referring to validation data? I was under the idea that we were supposed to touch the test data only once at the end of all training and validation. What is the right way to handle the test data?
Has anyone read the book "The Most Important Thing", which is mentioned in the blog? If so, can you give a review of it?
Got it. The input is not valid for the problem.
I'd recommend all of these:
Freakonomics- Interesting book if you're into Game theory and economics kind of stuff, though it has no prerequisites
Meditations- Great views of a stoic thinker
Zero to one- Interesting take on startups and how to build them
Foundation and empire- Amazing sci-fi book. Second book in the foundation series