🎉 New work: “Learning Massively Multitask World Models for Continuous Control”

We introduce MMBench: a 200-task RL benchmark, and Newt: a language-conditioned multitask world model trained with large-scale online RL.

www.nicklashansen.com/NewtWM/

Code, checkpoints, dataset etc. are open-source!

Introducing DINOv3 🦕🦕🦕

A SotA-enabling vision foundation model, trained with pure self-supervised learning (SSL) at scale.
High quality dense features, combining unprecedented semantic and geometric scene understanding.

Three reasons why this matters👇

Are you working on real-to-sim, sim-to-real, learning world models, or using physics based simulators to do interesting robotics tasks? There are 15 days to the submission deadline for our CoRL workshop Learning to Simulate Robot Worlds. More details here simulatingrobotworlds.github.io/submit.html

🚀 We’re pleased to announce our workshop at CoRL 2025: Learning to Simulate Robot Worlds! Workshop website: simulatingrobotworlds.github.io
The workshop aims to cover topics like physics-grounded simulation, photorealistic digital twins, AI-controlled simulators, to learned neural world models.

SCMs often assume overly-dense causal graphs in dynamic settings 👉⚽🥎, since any object interaction is a potential causal edge, making them hard to scale. In joint work with @turanorujlu.bsky.social @cgumbsch.bsky.social & Martin Butz we propose a new Causal Process Model to tackle this.
Thread👇

Sergey Levine was just presenting in the Exploration in AI @ #ICML2025 and promoted that exploration needs to be grounded, and that VLMs are a good source ;-) Check our paper below
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I am going to present the poster during the next poster session. 11am Wed.
Poster W #707

🚀 Launch day! The NeurIPS 2025 PokéAgent Challenge is live. @neuripsconf.bsky.social
Two tracks:
① Showdown Battling – imperfect-info, turn-based strategy
② Pokemon Emerald Speedrunning – long horizon RPG planning
5 M labeled replays • starter kit • baselines.
Bring your LLM, RL, or hybrid agent!

✨Introducing SENSEI✨ We bring semantically meaningful exploration to model-based RL using VLMs.

With intrinsic rewards for novel yet useful behaviors, SENSEI showcases strong exploration in MiniHack, Pokémon Red & Robodesk.

Accepted at ICML 2025🎉

Joint work with @cgumbsch.bsky.social
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Mark your calendars, EWRL is coming to Tübingen! 📅
When? September 17-19, 2025.
More news to come soon, stay tuned!