@orrkrup.bsky.social
ML Research @ Tzafon | Prev: Robot Learning & RL PhD @Technion More data isn't all we need 🔭🦾 🌍
Are there any good robotics and/or RL podcasts still running in 2025?
I used to enjoy The Robot Brains by Pieter Abbeel and TalkRL by @robinchauhan.bsky.social , but open to different styles too!
I find this idea really neat - VLMs are great at describing scenes, but LLMs are better reasoners, so let's use text as an interim representation.
Kind of reminiscent of the bitter lesson, only on a more "local" scale
arxiv.org/abs/2503.15108
Check out our new #ICLR2025 paper: EC-Diffuser leverages a novel Transformer-based diffusion denoiser to learn goal-conditioned multi-object manipulation policy from pixels!👇
Paper: www.arxiv.org/abs/2412.18907
Project page: sites.google.com/view/ec-diff...
Code: github.com/carl-qi/EC-D...
Also probably an issue of salience bias - you hear about virtually every plane crash and a lot of shootings, but road fatalities rarely make the news.
31.12.2024 10:34 — 👍 3 🔁 0 💬 0 📌 0
If interested on our take on addressing inverse RL in large state spaces, go to meet @filippo_lazzati and @alberto_metelli in the poster session 5 #NeurIPS2024 today (paper -> arxiv.org/abs/2406.03812)
13.12.2024 14:33 — 👍 5 🔁 2 💬 1 📌 0That speaks to the lack of good, standardized benchmarks for RL, more than anything else.
(Disclaimer: haven’t read the papers yet)
I agree completely. I just think the challenge will remain policy and public perception regarding public transit, same as it is today - just amplified by the effort that's been put into the technology by car manufacturers.
27.11.2024 13:06 — 👍 2 🔁 0 💬 0 📌 0This is actually something that worries me - how can we ensure that all the progress in autonomous driving doesn't just put a lot more single-person cars on the road? And also, how do we convince people that this isn't an alternative, and that we need to keep investing in transit.
27.11.2024 11:13 — 👍 0 🔁 0 💬 1 📌 0
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.
Been thinking about building a replacement for the arXiv daily email for a while, this looks like it might save me the trouble :)
25.11.2024 05:49 — 👍 3 🔁 0 💬 0 📌 0Just out of curiosity: what’s the action space here?
22.11.2024 10:05 — 👍 1 🔁 0 💬 1 📌 0Let’s use the real data to improve the simulators and get better massive, procedurally generated data 🤩
20.11.2024 16:55 — 👍 2 🔁 0 💬 0 📌 0
Some papers really feel like a glimpse into the future!
This one also serves as a powerful reminder that a lot of what we're focused on in the AI + robotics space is constrained by the hardware we have.
arxiv.org/abs/2411.11192
