Adam Gleave

Adam Gleave

PhD Candidate in Artificial Intelligence

UC Berkeley


I am a final-year artificial intelligence (AI) PhD candidate at UC Berkeley, advised by Stuart Russell and part of the Center for Human-Compatible AI. My focus is on out-of-distribution robustness for deep RL, with a particular emphasis on value learning and multi-agent adversarial robustness. I am a board member for the non-profit Fund for Alignment Research, and an advisor to Aligned AI.

I have had the pleasure of collaborating with Jan Leike and Geoffrey Irving during internships at DeepMind. Prior to joining Berkeley, I was fortunate to work with Zoubin Ghahramani and Christian Steinruecken during my Master’s degree in the Machine Learning Group at the University of Cambridge. Please see my CV for a more comprehensive list of my prior experience.

  • Artificial Intelligence
  • Deep RL
  • Beneficial AI
  • PhD in Artificial Intelligence, In Progress

    UC Berkeley

  • MPhil in Advanced Computer Science, 2016

    University of Cambridge

  • BA (Hons) in Computer Science, 2015

    University of Cambridge


(2021). Preprocessing Reward Functions for Interpretability. Cooperative AI Workshop at NeurIPS.

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Some of my opinions are best expressed in formats other than an academic paper. Here are a few of my more notable interviews and essays:

Writing Beautifully in LaTeX (August 2020). Design patterns for composing LaTeX documents.

Careers in Beneficial AI Research (July 2020). A guide for those interested in AI research careers that have a social impact, with a focus on graduate school.

Conversation with AI Impacts (August 2019). My reasons for being (cautiously) optimistic about the future of AI.


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