Aviv Tamar
aviv-tamar.bsky.social
Aviv Tamar
@aviv-tamar.bsky.social
AI and robotics researcher at Technion
avivt.github.io/avivt/
Pinned
Want to learn / teach RL? 

Check out new book draft:
Reinforcement Learning - Foundations
sites.google.com/view/rlfound...
W/ Shie Mannor & Yishay Mansour
This is a rigorous first course in RL, based on our teaching at TAU CS and Technion ECE.
Can we get AI to understand and visualize tactile scenes?

A short 🧵 about our new work

Human have **tactile scene understanding** - transforming touch signals to a mental representation of objects we manipulate. We learn this as children.

But what about AI?

youtu.be/D1VAWh3p_GU
Toward Artificial Palpation: Representation Learning of Touch on Soft Bodies
YouTube video by Itamar Kelner
youtu.be
November 26, 2025 at 1:55 PM
Reposted by Aviv Tamar
I'm excited about scaling up robot learning! We’ve been scaling up data gen with RL in realistic sims generated from crowdsourced videos. Enables data collection far more cheaply than real world teleop. Importantly, data becomes *cheaper* with more environments and transfers to real robots! 🧵 (1/N)
December 5, 2024 at 2:13 AM
Reposted by Aviv Tamar
Reminder:
How to share arXiv papers
December 1, 2024 at 11:20 AM
Reposted by Aviv Tamar
It's 2040. ICLR rebuttal now lasts two years. Reviewer 2 still hasn't read your paper but has strong opinions about it
November 25, 2024 at 8:42 PM
Want to learn / teach RL? 

Check out new book draft:
Reinforcement Learning - Foundations
sites.google.com/view/rlfound...
W/ Shie Mannor & Yishay Mansour
This is a rigorous first course in RL, based on our teaching at TAU CS and Technion ECE.
November 25, 2024 at 12:08 PM
Reposted by Aviv Tamar
Some years ago, a director at a tech company told me:

""" I get so many applicants that if you don't have a NeurIPS paper (or equivalent), I won't even look at the application. """

It's a quite reasonable individual rational response, but the systemic effects lead to what we see now.
November 25, 2024 at 1:27 AM
Reviews are mostly worthless; a good AC is critical.
Reviewing is dead.

I just read some ICLR reviews. Absolutely junk. No insight. Written by humans, but could have been written by a chatbot or teenager who had read a few dozen reviews.

Why do we think this is useful? Only 5% (if that!) of the community has worthwhile opinions.
November 24, 2024 at 5:00 PM