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Pedro A. Ortega

  1. Neural Networks and the Chomsky Hierarchy
    2022/07/05 by Grégoire Delétang, Delétang, Grégoire, Anian Ruoss +20 · 2 voices · 31 citations
    Computer Science · Engineering · #Ferroelectric and Negative Capacitance Devices #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.FL #cs.LG
  2. AI Safety Gridworlds
    2017/11/27 by Jan Leike, Miljan Martic, Leike, Jan +13 · 1 voice · 19 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #cs.AI #cs.LG
  3. Shaking the foundations: delusions in sequence models for interaction and control
    2021/10/20 by Pedro A. Ortega, Ortega, Pedro A., Markus Kunesch +37 · 2 voices · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Topic Modeling #cs.AI #cs.LG
  4. Causal Reasoning from Meta-reinforcement Learning
    2019/01/23 by Ishita Dasgupta, Jane X. Wang, Dasgupta, Ishita +20 · 1 voice · 10 citations
    Computer Science · #AI-based Problem Solving and Planning #Bayesian Modeling and Causal Inference #Reinforcement Learning in Robotics #cs.AI #cs.LG #stat.ML
  5. Thermodynamics as a theory of decision-making with information-processing costs
    2012/04/29 by Pedro A. Ortega, Daniel A. Braun · 1 voice · 13 citations
    Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #Quantum Mechanics and Applications #Statistical Mechanics and Entropy #math.OC #math.ST
  6. Algorithms for Causal Reasoning in Probability Trees
    2020/10/23 by Tim Genewein, Genewein, Tim, Tom McGrath +11 · 2 voices
    #cs.AI #cs.LG
  7. Meta reinforcement learning as task inference
    2019/05/15 by Jan Humplik, Humplik, Jan, Alexandre Galashov +9 · 21 citations
    Computer Science · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Data Stream Mining Techniques
  8. Meta-learning of Sequential Strategies
    2019/05/08 by Pedro A. Ortega, Jane X. Wang, Ortega, Pedro A. +45 · 14 citations
    Computer Science · #Machine Learning and Data Classification #Gaussian Processes and Bayesian Inference #Data Stream Mining Techniques
  9. Action and Perception as Divergence Minimization
    2020/09/03 by Danijar Hafner, Pedro A. Ortega, Hafner, Danijar +9 · 3 citations
    Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Embodied and Extended Cognition #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  10. Information-Theoretic Bounded Rationality
    2015/12/21 by Pedro A. Ortega, Ortega, Pedro A., Daniel A. Braun +7 · 1 citation
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Computability, Logic, AI Algorithms #Decision-Making and Behavioral Economics #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Systems and Control (eess.SY) #electronic engineering #information engineering
  11. Meta-trained agents implement Bayes-optimal agents
    2020/10/21 by Vladimir Mikulik, Grégoire Delétang, Mikulik, Vladimir +11 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  12. Beyond Bayes-optimality: meta-learning what you know you don't know
    2022/09/30 by Jordi Grau-Moya, Grégoire Delétang, Grau-Moya, Jordi +25 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)