user avatar
David Abel
@dabelcs
Scientist @GoogleDeepMind and Fellow @EdinburghUni | RL, philosophy, agency, foundations, alignment | office hours: tinyurl.com/dabel-mtg
Edinburgh, Scotland
Joined January 2018
  • Pinned
    user avatar
    Thrilled to share our new #NeurIPS2025 paper done at @GoogleDeepMind, Plasticity as the Mirror of Empowerment We prove every agent faces a trade-off between its capacity to adapt (plasticity) and its capacity to steer (empowerment) Paper: david-abel.github.io/plasticity.pdf 🧵🧵🧵👇
  • user avatar
  • user avatar
  • user avatar
  • user avatar
    📘 My PhD thesis, "A Theory of Abstraction in Reinforcement Learning", is now up on arXiv! 🎉 arxiv.org/abs/2203.00397 Eternally grateful to my fabulous advisor, @mlittmancs, for his guidance, and to @BrownCSDept! Check it out 🙂
  • user avatar
    I successfully defended my Ph.D! 🎓 A massive thank you to my wonderful advisor, @mlittmancs, to @BrownCSDept, @BrownBigAI, and to my family, friends, mentors, and collaborators for their time and support over the years!
  • user avatar
    Life update! I moved to London to join the wonderful folks @DeepMind as a Research Scientist -- very much looking forward to the next chapter 🙂
  • user avatar
    Student researcher applications for @GoogleDeepMind are open! More details on the program here: deepmind.com/student-resear… I might be able to serve as a host -- if you're interested in working together, feel free to reach out 🙂
  • user avatar
    RLDM is just lovely! It was great to see everyone and hear about all the wonderful RL work going on -- already looking forward to RLDM 2021. Notes from this round available here: david-abel.github.io/notes/rldm_201… #RLDM2019
  • user avatar
    Reinforcement learning often studies agents that solve a task, then stop learning. In contrast, continual RL focuses on agents that never stop learning. But what does "never stop learning" mean? 🤔 Excited to share our #NeurIPS2023 paper on this! david-abel.github.io/crl.pdf 🧵
  • user avatar
    Honoured that this work has received an outstanding paper award at NeurIPS 2021! 🎉🎊 Grateful to work with such a fantastic team: @wwdabney, @aharutyu, @Mark_Ho_, @mlittmancs, Doina Precup, and Satinder Singh 🥳
    Really excited to share our upcoming #NeurIPS2021 paper! "On the Expressivity of Markov Reward" arxiv.org/pdf/2111.00876… Joint with @wwdabney, @aharutyu, @Mark_Ho_, @mlittmancs, Doina Precup, and Satinder Singh. We ask: What can Markov reward express? (1/5; a quick 🧵--> )
  • user avatar
    Really excited to share our upcoming #NeurIPS2021 paper! "On the Expressivity of Markov Reward" arxiv.org/pdf/2111.00876… Joint with @wwdabney, @aharutyu, @Mark_Ho_, @mlittmancs, Doina Precup, and Satinder Singh. We ask: What can Markov reward express? (1/5; a quick 🧵--> )
  • user avatar
    New tradition: Every Thursday I'll share a brief summary of an idea from math, CS, or philosophy that I find fascinating -- I'll keep a running list here: david-abel.github.io/blog/posts/fun… First up: Reflective Equilibrium! 1/n
  • user avatar
    New blog post! david-abel.github.io/blog/posts/vps… We summarize our @Aistats2020 paper about optimality-preserving abstractions in finite MDPs. Joint post & paper with Nathan Umbanhowar, @khimya, Dilip Arumugam, Doina Precup, and @mlittmancs. Paper: david-abel.github.io/papers/aistats…