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Arthur Guez

  1. Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
    2017/12/05 by David Silver, Silver, David, Thomas Hubert +23 · 5 voices · 233 citations
    Computer Science · #Artificial Intelligence in Games #Reinforcement Learning in Robotics #Video Analysis and Summarization
  2. Mastering Atari, Go, chess and shogi by planning with a learned model
    2019/11/19 by Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert +9 · 4 voices · 167 citations
    Computer Science · #Artificial Intelligence in Games #Reinforcement Learning in Robotics #AI-based Problem Solving and Planning
  3. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
    2025/07/07 by Gheorghe Comanici, Eric Bieber, Comanici, Gheorghe +6844 · 8 voices · 1392 citations
    #cs.CL #cs.AI
  4. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
    2024/03/08 by Gemini Robotics Team, Gemini Team, Petko Georgiev +2277 · 4 voices · 613 citations
    Computer Science · #Semantic Web and Ontologies
  5. Deep Reinforcement Learning with Double Q-learning
    2015/09/22 by Hado van Hasselt, Arthur Guez, van Hasselt, Hado +3 · 1 voice · 171 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.LG
  6. Gemini: A Family of Highly Capable Multimodal Models
    2023/12/19 by Gemini Robotics Team, Gemini Team, Rohan Anil +2692 · 9 voices · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #cs.AI #cs.CL #cs.CV
  7. Imagination-Augmented Agents for Deep Reinforcement Learning
    2017/07/19 by Théophane Weber, Weber, Théophane, Sébastien Racanière +26 · 16 citations
    Computer Science · #Reinforcement Learning in Robotics
  8. Learning values across many orders of magnitude
    2016/02/24 by Hado van Hasselt, Arthur Guez, van Hasselt, Hado +7 · 7 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
  9. On the role of planning in model-based deep reinforcement learning
    2020/11/08 by Jessica B. Hamrick, Hamrick, Jessica B., Abram L. Friesen +17 · 1 citation
    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
  10. A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning
    2024/06/04 by Khimya Khetarpal, Zhaohan Daniel Guo, Khetarpal, Khimya +17 · 1 citation
    Computer Science · #Evolutionary Algorithms and Applications #Reinforcement Learning in Robotics