Asad

🎶Can a robot learn to play music? YES! — by teaching itself, one beat at a time 🎼 🥁Introducing Robot Drummer: Learning Rhythmic Skills for Humanoid Drumming 🤖 🔍 For details, check out: robotdrummer.github.io

🧠With the shift in humanoid control from pure RL to learning from demonstrations, we take a step back to unpack the landscape. 🔗breadli428.github.io/post/lfd/ 🚀Excited to share our blog post on Feature-based vs. GAN-based Learning from Demonstrations—when to use which, and why it…

I’ve recently left the Tesla Optimus team to co-found Mondo Tech with my longtime friend and former DJI colleague, Soren. I’m incredibly appreciative of the opportunity to contribute to Elon’s vision for general-purpose humanoid robots. Optimus has pushed both technical frontiers…

3 of my vids & guides on writing #ICRA papers: ✳️ Structure: michaelmilford.com/structuring-ro… ✳️ Practical Tips: michaelmilford.com/practical-tips… ✳️ Final stages: michaelmilford.com/tips-and-trick… #ICRA2024 #robotics #research #AcademicChatter #AcademicTwitter #publishing #academia @QUTRobotics

Not quite how I would tell the story, but very accurate for an observer who only saw part of the puzzle

5 reasons you should pick a career in robotics:

There has been a long debate on model-based vs model-free RL. The classic arguments include: • MBRL has richer learning signal • MBRL is task-independent • MFRL optimizes what you care about • MFRL is data inefficient I don't think this dichotomy is quite right. 🧵

Interested in RLHF? So are we! We're adding some RLHF content to the @huggingface Deep Reinforcement Learning Course. Join us live next Tuesday to learn more -- RLHF: From Zero to ChatGPT. 📆When: Next Tuesday 13 Dec, at 5:30pm CET / 11:30 am ET 🏡Where: youtu.be/2MBJOuVq380

A “razor” is a rule of thumb that simplifies decision making. The most powerful razors I’ve found:

I’m 43. When I was young, I chased things that didn’t matter. You can learn from my mistakes. If you’re 20-something, read this:

Next week, on Thursday, remember to join us for an amazing lineup with @gia_miceli on Bayesian approaches and @federicabertoni from @falckrenewables on deep learning-based predictive maintenance. Link here: meetup.com/it-IT/Machine-… See you there! #MLMilan #DeepLearning