Tabitha Edith Lee
@tabularobot
Postdoc at @UMontreal & @Mila_Quebec in causal learning for robots and embodied AI. Prior stops at @CMU_Robotics, @nvidia, LM Space ATC, & Uber ATG.
ID: 1190296843781124096
https://tabula-rosa.github.io/ 01-11-2019 15:59:24
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Thank you so much Talking Robotics (Riddhi, Nitin, sooraj krishnakumar, & Silvia 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! 🤖
I had a wonderful time visiting Robotics@GT to present my work on "Planning What to Learn". Thank you Matthew Gombolay for inviting. CORE Robotics Lab is doing fantastic inter-disciplinary work on robot skill learning, multi-agent RL and HRI. Slides @ tinyurl.com/ykphcwt9
Is "scaling is all you need" the right path for robotics? Announcing our Conference on Robot Learning 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 🧵
Finally, a good modern book on causality for ML: causalai-book.net by Elias Bareinboim. This looks like a worthy successor to the ground breaking book by Judea Pearl which I read in grad school. (h/t Joshua Safyan for the ref).
RL_Conference will be in Montréal next year at Université de Montréal. We are looking forward to welcoming you all! Bienvenue!