Chen Tessler
@ChenTessler
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Research Scientist @NVIDIAAI ; Training simulated robots 🤖 ; Reinforcement learning PhD @TechnionLive 🇮🇱. Views are my own.
Israel
Joined March 2012
Excited to share our latest work! 🤩 . Masked Mimic 🥷: Unified Physics-Based Character Control Through Masked Motion Inpainting . Project page: . with: Yunrong (Kelly) Guo, @ofirnabati, @GalChechik and @xbpeng4. @SIGGRAPHAsia (ACM TOG). 1/ Read
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Is there a way to mute all posts/replies tagging Grok?.Twitter has become turbo stupid.
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RT @AvivTamar1: Want robot imitation learning to generalize to new tasks? Blindfold your human demonstrator!. Best robotics paper at EXAIT….
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RT @BenjaminFuhrer: Heading to #ICML2025 to share our GBRL poster!.• Gradient-boosted trees for RL.• Strong performance & OOD robustness.•….
github.com
Gradient Boosting Reinforcement Learning (GBRL). Contribute to NVlabs/gbrl development by creating an account on GitHub.
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Check out Uri's work on combining RL with ComfyUI. Designing complex flows is a PITA and seems like it's another task that LLMs are pretty good at :).
Tired of manual #ComfyUI workflow design? While recent methods predict them, our new paper, FlowRL, introduces a Reinforcement Learning framework that learns to generate complex, novel workflows for you! .paper [
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RT @v_debakker: Can we teach dexterous robot hands manipulation without human demos or hand-crafted rewards?.Our key insight: Use Vision-La….
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RT @Vikashplus: 🦋 I'm getting butterflies . On Monday, we are launching a research preview of something amazing, bizarre, & ambitious at th….
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RT @harshit_sikchi: Behavioral Foundation Models (BFMs) trained with RL are secretly more powerful than we think. BFM’s directly output a p….
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RT @Michael_J_Black: Public service announcement -- if you're making a new dataset of human motions in SMPL-X format using a marker-based s….
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Full body tracker now on a deployed G1 🤩.
🚀Introducing GMT — a general motion tracking framework that enables high-fidelity motion tracking on humanoid robots by training a single policy from large, unstructured human motion datasets. 🤖A step toward general humanoid controllers. Project Website:
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PPO is very frustrating. It simply works. Always. No matter what I throw at it. Other methods. not so much.
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Thread packed with useful info and ideas!. This stair walking behavior is really neat. I've always criticized RL controllers (mine included) that they lack proper spatial understanding. They are very robust, they can go up and down stairs without falling down, but it always feels.
@xbpeng4 @ChenTessler @zhengyiluo Finally, our RL controller now enables NEO to cross floors by climbing up/down stairs. 2X the total addressable real estate that your NEO can help with! :)
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These results really surprised me. In some tasks where you can use decision trees, they exhibit superior performance and properties. One cool example is robustness to noisy or irrelevant features. NNs struggle ignoring these, while GBTs don't even flinch.
1/4 🚨 1st of 3 ICML 2025 papers!. We bring gradient boosting trees (like XGBoost) to RL — live on real datacenters. Our GBRL framework is robust, efficient, and deployable on lightweight hardware — even RISC-V CPUs 💻. 🧵👇.
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RT @jordanjuravsky: Happy Throughput Thursday! We’re excited to release Tokasaurus: an LLM inference engine designed from the ground up for….
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Also a reason why language commands aren't enough. This understanding is behind some design decisions we had in PDC -- .
Thought experiment: If you were blindfolded in a room and someone only described what’s around you… could you complete a task?. Now imagine seeing the room. Instantly, your brain reconstructs the space in 3D. That’s why language isn’t enough. @martin_casado and @drfeifei
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RT @YftahZ: 1/6🚀 New #ACL2025Findings:.We show you can predict if Chain-of-Thought (CoT) reasoning will succeed — before any tokens are gen….
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RT @GhugareRaj: Normalizing Flows (NFs) check all the boxes for RL: exact likelihoods (imitation learning), efficient sampling (real-time c….
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RT @jxmnop: excited to finally share on arxiv what we've known for a while now:. All Embedding Models Learn The Same Thing. embeddings fro….
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