Jorge Mendez-Mendez

@jmendezm.bsky.social

Embodied lifelong learning (compositionality, RL, TAMP, robotics). Assistant Professor at Stony Brook ECE. Postdoc at MIT CSAIL, PhD from GRASP lab at Penn. https://jorge-a-mendez.github.io

Can Large Language Models solve complex robotics problems with intricate geometric constraints? 🤖 Excited to share our preprint, "A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream"! 16 LLM planners using Gemini, 4950 TAMP problems. 🧵👇

I am looking forward to @collasconf.bsky.social next week, where I will be presenting my work and vision for lifelong robot learning through modularity.

@collasconf.bsky.social · last yr.

🎉 Announcing the winners of the #CoLLAs2025 Early-Career Spotlight Program! These rising stars are pushing the boundaries of lifelong & continual learning, adaptation, and embodied AI. 👇 A thread introducing their work & talks. #AI #MachineLearning #ContinualLearning #LifelongLearning

I'm wrapping up my Deep Learning course this Thursday with a lecture titled "The future of deep learning". What topics should make it in there? (I want to do very little of "the state-of-the-art of deep learning" and much more "things that don't yet work but some believe will be game-changing".)

📢 Exciting News! The Fourth Conference on Lifelong Learning Agents (CoLLAs 2025) will be held at the University of Pennsylvania (@Penn) in Philadelphia, USA 🇺🇸 🗓️ Important Dates: Abstract Deadline: Feb 21, 2025 Submission Deadline: Feb 26, 2025 Conference Dates: Aug 11 - Aug 14, 2025 1/

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New feed on continual learning, lifelong learning, and related ML topics: bsky.app/profile/did:... I hope you find it useful. Please let me know if you notice it is missing any posts, so that I can adjust the regular expression.

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