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Research interests

I am interested in exploring how agents can learn to abstract structure out of tasks and use this to adapt better to different classes of tasks. Thus, I am currently working on gaining further insight into generalization and domain adaptation in Reinforcement Learning and Meta-Learning. My greater research ambition is to develop agents that can learn how to tune their own algorithms. My current research interests are:

  • Contextual Reinforcement Learning
  • Automated Reinforcement Learning
  • Meta Reinforcement Learning

Latest publications

  1. E-pub ahead of print

    Research output: Contribution to journalArticleResearchpeer review

  2. E-pub ahead of print

    Research output: Contribution to journalArticleResearchpeer review

  3. Published

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

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