🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

📢📢Excited to announce the 1st Causal &Object-Centric Representations for Robotics Full-day Workshop at @CVPRCall Abstracts deadline 4/28 W. amazing Francesco Locatello Roozbeh Mottaghi Andrii Zadaianchuk 🇺🇦 Phillip Lippe @Priyam8Parashar Siddharth Patki R.Desai corrworkshop.github.io/submit.html

🚨Introducing GenRL! An embodied AI agent that learns multimodal foundation world models 🌍 By connecting the multimodal knowledge of foundation models with the embodied knowledge of world models for RL, GenRL enables turning vision and language prompts into actions!

Tired of causally confused agents when learning from offline datasets? We propose 🚣🏼‍♀️CAIAC🚣🏼‍♀️, a method for counterfactual data augmentation to improve the robustness of offline learning agents against extreme distributional shifts at test time. 🧵

🚨We're back!🚨 Excited to announce The 2nd IMOL Workshop at #neurips2024! Send us your 📜newest work📜on learning & exploration in artificial and biological agents. #CFP at imol-workshop.github.io/pages/call/ 🔄Please share widely & stay tuned for more programming announcements!

Were you ever wondering why there are little-to-no diverse offline imitation learning algorithms 🤔? Then we've got something 4 you! Our paper, "Offline Diversity Maximization under Imitation Constraints" is being presented today at RLC2024 🎇! 🧵 rlj.cs.umass.edu/2024/papers/Pa…

#Context plays a critical role not only in interpreting language but many other cognitive processes. In a new paper, we propose that context-sensitivity is a core feature of human memory that enables flexible planning, #generalization, and decision making doi.org/10.1016/j.neub…

How to represent dynamic real-world data both consistently and efficiently, while reflecting the compositional object-centric structure of the world? Contrast your slots! ...with our new SlotContrast method(🚀#CVPR2025 Oral🚀)! 🌐website: slotcontrast.github.io 🧵🧵🧵 1/n

✨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 Christian Gumbsch 🧵

When multiple tasks need improvements, fine-tuning a generalist policy becomes tricky. How do we allocate a demonstration budget across a set of tasks of varied difficulty and familiarity? We are presenting a possible solution at ICML on Wednesday! (1/3)

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 👇

Reframing attention as an RL problem for causal discovery AI models like GNNs & Transformers can struggle with dynamic causal reasoning. Our work introduces the Causal Process Model (CPM), which reframes attention as an RL problem. Agents dynamically build sparse causal graphs.