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Chebotar, Yevgen

  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 · 375 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 Anthony Brohan, Ahn, Michael, Brohan, Anthony +84 · 313 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 · 275 citations
    Computer Science · #Multimodal Machine Learning Applications #Human Pose and Action Recognition #Domain Adaptation and Few-Shot Learning
  5. Open X-Embodiment: Robotic Learning Datasets and RT-X Models
    2023/10/13 by Embodiment Collaboration, O'Neill, Abby, Rehman, Abdul +349 · 173 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Modular Robots and Swarm Intelligence #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
  6. 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
  7. 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
  8. 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
  9. Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience
    2018/10/12 by Chebotar, Yevgen, Handa, Ankur, Makoviychuk, Viktor +4 · 23 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  10. 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
  11. 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)
  12. Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
    2023/09/18 by Chebotar, Yevgen, Vuong, Quan, Irpan, Alex +22 · 19 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  13. Actionable Models: Unsupervised Offline Reinforcement Learning of\n Robotic Skills
    2021/04/15 by Yevgen Chebotar, Karol Hausman, Chebotar, Yevgen +20 · 10 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Reinforcement Learning in Robotics
  14. 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
  15. 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)
  16. Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
    2023/05/05 by Alexander Herzog, Herzog, Alexander, Kanishka Rao +77 · 4 citations
    Engineering · Computer Science · #Robot Manipulation and Learning #Reinforcement Learning in Robotics
  17. How to Leverage Unlabeled Data in Offline Reinforcement Learning
    2022/02/03 by Tianhe Yu, Yu, Tianhe, Aviral Kumar +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)
  18. Robotic Offline RL from Internet Videos via Value-Function Pre-Training
    2023/09/22 by Bhateja, Chethan, Guo, Derek, Ghosh, Dibya +6 · 4 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  19. Meta-Learning via Learned Loss
    2019/06/12 by Bechtle, Sarah, Molchanov, Artem, Chebotar, Yevgen +4 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO)
  20. Multi-Modal Imitation Learning from Unstructured Demonstrations using\n Generative Adversarial Nets
    2017/05/30 by Karol Hausman, Yevgen Chebotar, Hausman, Karol +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)