Pablo Ariño Fernández ☁️
Pablo Ariño Fernández

MSc Student

UCL

About Me

I’m Pablo Ariño Fernández, a MSc student in Machine Learning at UCL. My long term goal is to contribute to solving some of the most fundamental problems in AI today: How to make deep-learning-based agents capable of learning continually, planning, and generalising to unseen situations. Continual learning involves solving challenges such as catastrophic forgetting in a big and potentially open-ended world. I am particularly interested in reinforcement learning as a natural framework to achieve these goals.

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Interests
  • Reinforcement Learning (Open-Ended Learning, Temporal Abstractions)
  • Continual Deep Learning
  • Meta-Learning
  • Out-of-Distribution Generalisation (Neural Algorithmic Reasoning)
Education

  • M.Sc. Machine Learning (ongoing)

    University College London

  • B.Sc. Data Science and Artificial Intelligence

    Polytechnic University of Madrid

  • ERASMUS Exchange Program

    Poznań University of Technology

  • ATHENS Exchange Program

    Ecole des Ponts ParisTech

📚 My Research
As Richard Hamming suggested in his famous talk, “You and Your Research”, choosing the right problem to work on is crucial. Great scientists spend significant time thinking about and identifying important issues. However, committing to a specific research direction feels risky. Each year, an exponentially growing number of papers are published. Architectures or trends that are state-of-the-art today might become obsolete tomorrow. That is why my focus is on the fundamental questions of AI.
Publications
Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment