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Yevgen Chebotar

  1. RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
    2023/07/28 by Anthony Brohan, Brohan, Anthony, Noah Brown +105 · 549 citations
    Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Robotics (cs.RO) #Topic Modeling
  2. RT-1: Robotics Transformer for Real-World Control at Scale
    2022/12/13 by Anthony Brohan, Brohan, Anthony, Noah Brown +99 · 374 citations
    Computer Science · #Advanced Neural Network Applications #Multimodal Machine Learning Applications #Machine Learning and Data Classification
  3. Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
    2022/04/04 by Ahn, Michael, Anthony Brohan, Brohan, Anthony +84 · 311 citations
    Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Natural Language Processing Techniques
  4. PaLM-E: An Embodied Multimodal Language Model
    2023/03/06 by Danny Driess, Fei Xia, Driess, Danny +41 · 274 citations
    Computer Science · #Multimodal Machine Learning Applications #Human Pose and Action Recognition #Domain Adaptation and Few-Shot Learning
  5. Inner Monologue: Embodied Reasoning through Planning with Language Models
    2022/07/12 by Wenlong Huang, Fei Xia, Huang, Wenlong +31 · 114 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Robotics (cs.RO) #Topic Modeling
  6. Time-Contrastive Networks: Self-Supervised Learning from Video
    2017/04/23 by Pierre Sermanet, Sermanet, Pierre, Corey Lynch +11 · 49 citations
    Computer Science · Engineering · #Human Pose and Action Recognition #Advanced Vision and Imaging #Robot Manipulation and Learning
  7. Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
    2024/03/06 by Jesse Farebrother, Jordi Orbay, Farebrother, Jesse +21 · 3 voices · 33 citations
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.AI #cs.LG #stat.ML
  8. RT-H: Action Hierarchies Using Language
    2024/03/04 by Suneel Belkhale, Tianli Ding, Belkhale, Suneel +15 · 46 citations
    Computer Science · Business, Management and Accounting · #Data Visualization and Analytics #Semantic Web and Ontologies #Business Process Modeling and Analysis
  9. MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
    2021/04/16 by Dmitry Kalashnikov, Kalashnikov, Dmitry, Jacob Varley +13 · 17 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Modular Robots and Swarm Intelligence #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
  10. Actionable Models: Unsupervised Offline Reinforcement Learning of\n Robotic Skills
    2021/04/15 by Yevgen Chebotar, Chebotar, Yevgen, Karol Hausman +20 · 10 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Reinforcement Learning in Robotics
  11. Combining Model-Based and Model-Free Updates for Trajectory-Centric\n Reinforcement Learning
    2017/03/08 by Yevgen Chebotar, Karol Hausman, Chebotar, Yevgen +9 · 8 citations
    Computer Science · Engineering · #Reinforcement Learning in Robotics #Autonomous Vehicle Technology and Safety #Traffic control and management
  12. Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
    2021/09/16 by Tianhe Yu, Yu, Tianhe, Aviral Kumar +9 · 5 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
  13. Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
    2023/05/05 by Alexander Herzog, Kanishka Rao, Herzog, Alexander +77 · 4 citations
    Engineering · Computer Science · #Robot Manipulation and Learning #Reinforcement Learning in Robotics
  14. How to Leverage Unlabeled Data in Offline Reinforcement Learning
    2022/02/03 by Tianhe Yu, Aviral Kumar, Yu, Tianhe +9 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotics (cs.RO)
  15. Multi-Modal Imitation Learning from Unstructured Demonstrations using\n Generative Adversarial Nets
    2017/05/30 by Karol Hausman, Hausman, Karol, Yevgen Chebotar +8 · 4 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Robot Manipulation and Learning #Robotics (cs.RO)
  16. RoboTTT: Context Scaling for Robot Policies
    2026/07/16 by Yunfan Jiang, Yevgen Chebotar, Ruijie Zheng +8 · 1 voice
    #cs.RO #cs.AI #cs.LG