Tim Rocktäschel @_rockt
Director and Open-Endedness Team Lead @GoogleDeepMind, Professor of AI @AI_UCL, PI @UCL_DARK, Fellow @ELLISforEurope. rockt.ai London, England Joined December 2010-
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Unifloral has been accepted as an Oral at NeurIPS 2025! Immensely grateful to my @FLAIR_Ox co-authors @uljadb99 and @JarekLiesen for pouring months of effort into this project. There’s a ton of low-hanging fruit in offline RL… If you’re looking for a project, check it out!
Unifloral has been accepted as an Oral at NeurIPS 2025! Immensely grateful to my @FLAIR_Ox co-authors @uljadb99 and @JarekLiesen for pouring months of effort into this project. There’s a ton of low-hanging fruit in offline RL… If you’re looking for a project, check it out! https://t.co/SAcGFm7w6k
This was fun, but I definitely need to read up on simulation theory before the next one :)
This was fun, but I definitely need to read up on simulation theory before the next one :)
⭐️ Huge news! ⭐️ We are thrilled to officially launch CodeWords, the AI platform that lets you build powerful automations simply by chatting with AI. CodeWords turns plain English into smart automations — and even makes building them fun! Sign-up → agemo.ai/codewords
🚨🚨Introducing the FLAIR internship program!🚨🚨 We are looking for two talented students to join us for an internship working in FLAIR for 6 months (5th January to 4th July 2026)! For details and eligibility criteria, please check: foersterlab.com/internship/
Almost all agentic pipelines prompt LLMs to explicitly plan before every action (ReAct), but turns out this isn't optimal for Multi-Step RL 🤔 Why? In our new work we highlight a crucial issue with ReAct and show that we should make and follow plans instead🧵
"Always reasoning" (ReAct) isn't optimal for LLM agents! 🧠 Our new paper identifies a "Goldilocks" effect: planning too frequently or not enough degrades performance. We show how to train agents to learn to dynamically allocate test-time compute when needed for best results. 👇
"Always reasoning" (ReAct) isn't optimal for LLM agents! 🧠 Our new paper identifies a "Goldilocks" effect: planning too frequently or not enough degrades performance. We show how to train agents to learn to dynamically allocate test-time compute when needed for best results. 👇
Almost exactly 10 years after joining @imperialcollege as a Postdoc, I am honoured to announce that I am now Professor in Machine Learning and Robotics! 👨🎓 🤖 My fantastic team found the best gift to celebrate this special occasion!
After thousands of papers on meta-learning, the approach that ended up being successful (ICL) was an accidental byproduct of language modeling. Serendipity at its best and a good reminder that research needs to be open-ended and pursue a diversity of goals to escape local minima.
We introduce PuzzleJAX, a benchmark for reasoning and learning. 🧩💡🦎 PuzzleJAX compiles hundreds of existing grid-based PuzzleScript games to hardware-accelerated JAX environments, and allows researchers to define new tasks via PuzzleScript's concise rewrite rule-based DSL.
We can now train AI inside the mind of another AI. 🤯 🌍 Our world model, Genie 3, imagines and generates new worlds on the fly. 🤖 Our embodied agent, Sima, is dropped in and learns to navigate them autonomously. The entire loop—from the environment to the action—is generated…
Sim to real transfer
AI is getting REALLY meta. Genie 3 builds a simulation of reality by digesting YouTube. SIMA agent learns inside of it. Repeat. Your robots will be dreaming at night, reliving their mistakes, and figuring out how to do a better job next time. This world model tech really…
You can prompt Genie 3 with text, photos, or videos - like this cool game example created using Imagen 4 -> Veo 3 -> Genie 3 x.com/philipjohnball…
You can prompt Genie 3 with text, photos, or videos - like this cool game example created using Imagen 4 -> Veo 3 -> Genie 3 x.com/philipjohnball…
Congrats @jparkerholder, @shlomifruchter, & the Genie & Veo teams! If you are interested to know more, the latest episode of the @GoogleDeepMind Podcast with the brilliant @FryRsquared has just dropped, and is all about Genie 3 & its incredible potential: youtube.com/watch?v=n5x6yX…
Simulations are the future, & one of the main tools we’ll ultimately use to understand and predict things about the universe. This is why I’m so excited about Genie 3, our latest interactive world simulator - here are some insanely cool things you might have missed about it 🧵:
Why make explorable, AI generated worlds? @shlomifruchter and @jparkerholder explain how creating diverse and challenging virtual environments can help test and train AI agents safely. 🦺 Watch their conversation about Genie 3 with podcast host, @FryRsquared ↓ Timecodes:…
Doris is not just in my photo because she’s cute… she’s also the inspiration for my work 🫶🐕
Doris is not just in my photo because she’s cute… she’s also the inspiration for my work 🫶🐕
TWIML is one of my favorite podcasts. It was super fun to chat with @jparkerholder and the legendary @samcharrington about Genie 3 and beyond🎙️
TWIML is one of my favorite podcasts. It was super fun to chat with @jparkerholder and the legendary @samcharrington about Genie 3 and beyond🎙️
🔥 Oh boy, here we go — GPT-5 enters balrogai.com. Like everyone, we had sky-high expectations for GPT-5; however, in minimal thinking mode (as close as possible to the base model), it achieves performance comparable to GPT-4o and Gemini-2.5-Flash 🤯
Today, we're joined by @jparkerholder and @shlomifruchter, researchers at @GoogleDeepMind, to discuss the recent release of Genie 3, a model capable of generating “playable” virtual worlds. We dig into the evolution of the Genie project and review the current model’s scaled-up…
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