Tabitha Edith Lee

Curious how causality can help learn interpretable and robust skills for manipulation? Please visit our work on SCALE tomorrow (Nov 9) at CoRL Poster Session 5 at 2:45pm ET! A thread 🧵 (1/4) #CoRL2023 Website: sites.google.com/view/scale-cau… @corl_conf @CMU_Robotics @iamlab_cmu

🚀 Montreal #Robotics Summer School 2026 — Applications Now Open! 📅 Dates: August 2–7, 2026 📍 Location: @Mila_Quebec (in person) 🤖 Program: 1 day of activities + 5 days of intensive Robotics & AI training (theory and hands-on)

For those interested in joining my lab, submit your application via the Mila form. This year, I am particularly interested in students with skills/interests in robotics, reinforcement learning and foundational models, which will push forward the abilities of real-world agents.

Mila's annual supervision request process is now open to receive MSc and PhD applications for Fall 2026 admission! For more information, visit mila.quebec/en/prospective…

We are extending the paper submission deadline to August 18, 2025. Submit your latest work on resource-rational robot learning to our workshop! Details + updated speaker lineup:: rational-robots.github.io Don’t miss our exciting panel discussion!

@RL_Conference will be in Montréal next year at @UMontreal. We are looking forward to welcoming you all! Bienvenue!

Finally, a good modern book on causality for ML: causalai-book.net by @eliasbareinboim. This looks like a worthy successor to the ground breaking book by @yudapearl which I read in grad school. (h/t @JoshuaSafyan for the ref).

Shout out to my amazing collaborators: Rosemary (@rosemary_ke), Sarvesh (@servo97), Annya (@AnnyaDahmani), Eunice (@eunice_yiu_), Esra'a (@TheEsraaSaleh), Alison (@AlisonGopnik), Oliver (@Oliver_Kroemer), and Glen (@GlenBerseth). Stay tuned for future progress on CURATE! ✅ 6/6

Please visit our poster today at the EXAIT@ICML workshop in the West Meeting Room 205-207 from 11:45am - 2:15pm PT! Please also reach out if you are interested in discussing more! 5/6

Announcing our EXAIT@ICML workshop paper: CURATE! Have a difficult target task distribution with sparse rewards that you want to train an RL agent to complete? 🤔 We tackle this problem using our curriculum learning algorithm, CURATE. 🎓 Link: openreview.net/forum?id=mAeQu… 1/6

Is "scaling is all you need" the right path for robotics? Announcing our @corl_conf workshop on "Resource-Rational Robot Learning", where we will explore how to build efficient intelligent systems that learn & thrive under real-world constraints. Submission deadline: Aug 8 🧵

🚨 We’re thrilled to announce our NeurIPS 2025 workshop: CausCien: Uncovering Causality in Science 🔍✨ We’re uniting ML + science communities to explore how causal learning advances: 🌿 Ecology 🧬 Biology 📊 Social Science & more! 📝 Submit by Aug 22 👉 sites.google.com/view/causcien

I am hiring another postdoc for my lab. Consider applying if you have #foundationalmodels, #robotics, or #reinforcementlearning skills. You will help create generalist real-world agents (robots) with a team of 20 working on these problems and overly competitive go-karting.

@Oliver_Kroemer Thank you so much for your incredible guidance and support throughout my PhD journey, Oliver! I am so grateful for all that I have learned from you and the IAM Lab. I am proud of our work together, and I hope it leads to the adoption of causality more broadly within robotics! 🤖

A huge congratulations to Dr. Tabitha Lee (⁦@TabulaRobot⁩ ) for successfully completing her Ph.D. thesis on Causal Robot Learning for Manipulation! It has been a great journey and key steps to bringing causal reasoning and learning into robotics.

I had a wonderful time visiting @GTrobotics to present my work on "Planning What to Learn". Thank you @MatthewGombolay for inviting. @core_robotics is doing fantastic inter-disciplinary work on robot skill learning, multi-agent RL and HRI. Slides @ tinyurl.com/ykphcwt9

OpenAI's Sora has reignited discussions on causal reasoning in today's ML systems. Seems a binary divide: do they have causal reasoning/a world model? Or not? But reality is much more complicated. Here's a 🧵summarizing last year's research on generative models and causality.

Thank you so much @talkingrobotics (Riddhi, Nitin, @srjkrish, & @si_tulli) for inviting me to talk about our work in SCALE and causal skill learning as a part of Talking Robotics #71! I'm so grateful for the opportunity, and it was a blast! 🤖