RL for real-world applications = offline learning + reward learning. How do we make this work?
Find out more at ICLR poster #377 at 10am today!
@gio_ramponi and I will be presenting our latest work on offline preference-based RL (joint w/ @gxr, @bschoelkopf).
I am at ICLR this week ! Excited to be presenting our work on identifiability with @rpatrik96@JuhosAttila@randall_balestr@klindt_david@wielandbr. Tune in on Saturday at 11AM in Garnet 216-218 for our oral presentation and at 3PM in Hall 3/2B for our poster!
🎉 Yesterday, @AlizeePace, our very first PhD Fellow of the @ETH_AI_Center, graduated! She was supervised by ETH AI Center Faculty members Prof. Gunnar Rätsch @gxr and Prof. @bschoelkopf. Congrats, Dr. Pace! Next, she will join @GoogleDeepMind in Zurich as a Research Scientist.
Last Friday, I had the pleasure of giving an invited talk at the workshop on Reinforcement Learning in Mannheim, Germany!
I presented recent work on offline preference-based reinforcement learning, aiming to make RL more practical for real-world applications like healthcare.
✨New Preprint ✨ Ever thought that reconstructing masked pixels for image representation learning seems sub-optimal?
In our new preprint, we show how masking principal components—rather than raw pixel patches— improves Masked Image Modelling (MIM).
Find out more below 🧵
🚨 Recruiting PhD students to join my team at @DTU_VisualComp & @AiCentreDK on 3D Vision!
🇩🇰 🚲🌊🏰 Copenhagen is an emerging hub for computer vision with a thriving community—and it’s an amazing city!
📢 Apply now: https://t.co/W6vtAuTDZY & please reach out with any questions!
Machine learning has made incredible breakthroughs, but our theoretical understanding lags behind.
We take a step towards unravelling its mystery by explaining why the phenomenon of disentanglement arises in generative latent variable models.
Blog post: https://t.co/yqJaAbGH4I
🔬 Advance the frontiers of AI: @ETH_AI_Center Fellowship Programs –#PhD & #Postdoc Opportunities 🔬
💫Push the boundaries of Reinforcement Learning and Data-driven Control💫
✍️ Apply by November 19, 2024: ttps://ai.ethz.ch/apply