We are thrilled to announce LIBERO, a lifelong robot learning benchmark to study knowledge transfer in decision-making and robotics at scale! 🤖 LIBERO paves the way for prototyping algorithms that allow robots to continually learn! More explanations and links are in the 🧵

Dobby is a conversational service robot and the starting point of my lab's new work on LLMs in robotics! arxiv.org/abs/2310.06303 youtu.be/iAuRsHsZMeM #livingwithrobotslab Peter Stone Texas Robotics Computer Science at UT Austin

Tasks at home can involve many objects with complex interdependencies, e.g., the butter needs to be melted on the stove before it can be mixed and fried with meat in a pot. How can RL efficiently explore such tasks with sparse rewards? Introducing our #NeurIPS23 paper ELDEN: 🧵

Interested in urban context-aware navigation ? Checkout 💫 CODa 💫, the latest and largest multi-modal, annotated robot dataset from Texas Robotics led by Arthur King Zhang

Interesting work from Siddhant Agarwal on f-Policy gradients to learn optimal goal-conditioned policies with goal distribution matching. Check it out !

Are you tired of retraining your imitation learning policies every time the background is changed or someone accidentally knocked over the camera? No more panic with GROOT, which builds object-centric, 3D representations to learn generalizable manipulation policies. #CoRL2023

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More good coverage of our robot parade from a couple of weeks ago: news.utexas.edu/2023/10/16/stu… Texas Robotics

Looking forward to presenting STERLING @ #CoRL23 in Atlanta next week ! More details in the thread below, do visit our poster session on Wednesday to learn more ! 😀 Also, if you happen to attend CoRL, feel free to dm. Happy to chat and connect with fellow roboticists! :)

🚨This is tomorrow! Remember to stop by the poster session from 12-12:45 to learn more :)

Thrilled to announce the first annual Reinforcement Learning Conference RL_Conference, which will be held at UMass Amherst August 9-12! RLC is the first strongly peer-reviewed RL venue with proceedings, and our call for papers is now available: rl-conference.cc.

hmm..

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Impressive!

🌟Excited to present our paper (arxiv.org/abs/2306.09526) at #NeurIPS2023 next week! We introduce a novel RL framework, Residual Q-learning, to customize an imitative policy towards additional task requirements. Join us for the poster session on 13 Dec, 10:45 a.m. CST! 🧵

The new Mixtral-8x7b model is impressive! From my initial observations, coding capabilities seem just as good as GPT3.5, however, it seems to struggle with longer chat sequences where it tends to repeat "I'm not sure what you mean by.. "

Pretty cool. Mixtral-8x7b gets the same Arena Elo rating as GPT-3.5T, a first of its kind with a non-proprietary license

Apparently, Ingenuity flew over a texture-poor terrain and RANSAC wasn’t able to find inliers: spectrum.ieee.org/mars-helicopte… According to NASA: “It's very featureless-bland, sandy terrain. And that's why we believe that during Flight 71, we had an emergency landing. She was flying over

Targeted Learning will be presented at #ICRA24! 🎉 Checkout the paper and video if you're interested in social navigation!

Excited to announce the call for workshop proposals for RL_Conference is open! rl-conference.cc/call_for_works… Due March 8th. Josiah Hanna and I are the workshop co-chairs this year and we hope you'll consider submitting a proposal. Workshops on any RL-related topics are welcome!