Chen is an awesome person to work with - definitely check out this opportunity if you are looking for PhD positions in AI & Robotics!

Today we're excited to introduce Vy, our AI that sees and acts on your computer. At Vercept, our mission is to reinvent how humans use computers–enabling you to accomplish orders of magnitude more than what you can do today. Vy is a first glimpse at AI that sees and uses your

This is one of the first robotics startups I’ve seen that truly centers on continual improvement, and the results speak for themselves. Outstanding work!

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Check out Shivin’s work on data curation for Robotics!

Excited to be in ATL for #ICRA2025 to present 🔥FLaRe: fine-tuning large transformer policies with #RL, 15:25 Tuesday @ room 410! I will also be attending the 📷Doctoral Consortium on Monday to talk about my research on self-improving robots. Happy to meet old and new friends!

We're thrilled to announce SignGemma, our most capable model for translating sign language into spoken text. 🧏 This open model is coming to the Gemma model family later this year, opening up new possibilities for inclusive tech. Share your feedback and interest in early

I'm excited to share that I will be joining as a student researcher at Google DeepMind in Montreal next week, hosted by Pablo Samuel Castro. I'll be working at the intersection of multi-agent reinforcement learning and neuroscience. Can't wait to get started!

[1/n] Can LLM Agents learn to communicate and coordinate in natural language in driving scenarios 🚗 through self-play interactions? Our recent research shows the potential for such learning; interestingly, there is evidence that they develop concise protocols for collaboration!

Over the past months, I trained codex & many more RL models. Strong supervision (+LLM) make RL great, but I believe much more is unlocked by “unsupervised” RL—fascinating problems I’ve worked on since phd: no reward, surrogate task, local→global, suboptimal data, rep learning…

Such a well-written and insightful blog by Seohong Park . It’s actually a great explanation for why we found action hierarchy to be so powerful in real-world RL. Totally agree that creating truly scalable off-policy RL is one of the most important things.

Introducing VGC-Bench, a new plug-and-play benchmark made to support research efforts in the domain of Pokémon VGC! Read on for the open source code, the paper, and everything you need to dive in. [1/9]

Meet Casper👻, a friendly robot sidekick who shadows your day, decodes your intents on the fly, and lends a hand while you stay in control! Instead of passively receiving commands, what if a robot actively sense what you need in the background, and step in when confident? (1/n)

Imagine a future where robots are part of our daily lives — How can end users teach robots new tasks by directly showing them, just like teaching another person? 🧵👇