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Behbahani, Feryal

  1. Genie: Generative Interactive Environments
    2024/02/23 by Jake Bruce, Bruce, Jake, Michael J. Dennis +50 · 11 voices · 160 citations
    Social Sciences · #Digital Games and Media
  2. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
    2024/03/08 by Gemini Robotics Team, Petko Georgiev, Gemini Team +2277 · 4 voices · 798 citations
    Computer Science · #Semantic Web and Ontologies
  3. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
    2025/07/07 by Gheorghe Comanici, Comanici, Gheorghe, Eric Bieber +6844 · 8 voices · 1398 citations
    #cs.CL #cs.AI
  4. Training Language Models to Self-Correct via Reinforcement Learning
    2024/09/19 by Aviral Kumar, Kumar, Aviral, Vincent Zhuang +36 · 2 voices · 110 citations
    Computer Science · #Speech and dialogue systems #Topic Modeling #Natural Language Processing Techniques
  5. Many-Shot In-Context Learning
    2024/04/17 by Rishabh Agarwal, Avi Singh, Agarwal, Rishabh +29 · 1 voice · 58 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #cs.AI #cs.CL #cs.LG
  6. Open-Endedness is Essential for Artificial Superhuman Intelligence
    2024/06/06 by Edward Hughes, Michael Dennis, Michael J. Dennis +15 · 6 voices · 24 citations
    Computer Science · Physics and Astronomy · #Computability, Logic, AI Algorithms #Space Science and Extraterrestrial Life #cs.AI #cs.LG
  7. Human-Timescale Adaptation in an Open-Ended Task Space
    2023/01/18 by Jakob Bauer, Adaptive Agent Team, Bauer, Jakob +55 · 3 voices · 19 citations
    Computer Science · #Reinforcement Learning in Robotics #Data Stream Mining Techniques
  8. Structured State Space Models for In-Context Reinforcement Learning
    2023/03/07 by Chris Xiaoxuan Lu, Lu, Chris, Yannick Schroecker +11 · 20 citations
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
  9. Vision-Language Models as a Source of Rewards
    2023/12/14 by Baumli, Kate, Baveja, Satinder, Behbahani, Feryal +24 · 12 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  10. Acme: A Research Framework for Distributed Reinforcement Learning
    2020/06/01 by Matt Hoffman, Hoffman, Matthew W., Bobak Shahriari +40 · 7 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Modular Robots and Swarm Intelligence #Reinforcement Learning in Robotics
  11. Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality
    2022/05/26 by Tom Zahavy, Yannick Schroecker, Zahavy, Tom +11 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  12. On the role of planning in model-based deep reinforcement learning
    2020/11/08 by Jessica B. Hamrick, Abram L. Friesen, Hamrick, Jessica B. +17 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotic Path Planning Algorithms
  13. Privileged Information Dropout in Reinforcement Learning
    2020/05/19 by Pierre-Alexandre Kamienny, Kamienny, Pierre-Alexandre, Kai Arulkumaran +7 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  14. Learning from Demonstration in the Wild
    2018/11/08 by Behbahani, Feryal, Shiarlis, Kyriacos, Chen, Xi +8 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  15. Modular Meta-Learning with Shrinkage
    2019/09/12 by Yutian Chen, Chen, Yutian, Abram L. Friesen +11 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Speech Recognition and Synthesis #Topic Modeling
  16. Model-Value Inconsistency as a Signal for Epistemic Uncertainty
    2021/12/08 by Angelos Filos, Filos, Angelos, Eszter Vértes +17 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reinforcement Learning in Robotics