David Abel
@dabelcs
Scientist @GoogleDeepMind and Fellow @EdinburghUni | RL, philosophy, agency, foundations | office hours: http://tinyurl.com/dabel-mtg
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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 🧵🧵🧵👇
🚀 Excited to share a new preprint, accepted as a spotlight at #NeurIPS2025! Humans are imperfect decision-makers, and autonomous systems should understand how we deviate from idealized rationality Our paper aims to address this! 👀🧠✨ arxiv.org/abs/2510.25951 a 🧵⤵️
New paper with @robertchisciure ! "Cognition all the way down 2.0: neuroscience beyond neurons in the diverse intelligence era" link.springer.com/article/10.100… "This paper formalizes biological intelligence as search efficiency in multi-scale problem spaces, aiming to resolve…
Forests are important hubs of biodiversity for the world, but we’re losing them at an alarming rate. 🌲 In partnership with @WorldResources, we uncovered the underlying drivers of forest loss around the world. Today, we’re releasing a model and dataset for predicting tropical…
How do people flexibly integrate visual & textual information to draw mental inferences about agents we've never met? In a new paper led by @LanceYing42, we introduce a cognitive model that achieves this by synthesizing rational agent models on-the-fly--presented at EMNLP 2025!
Come for the beautiful diagrams, stay for the very nice symmetry between plasticity (how much the environment can affect the agent) and empowerment (how much the agent can affect the environment)
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 🧵🧵🧵👇
🚨The Formalism-Implementation Gap in RL research🚨 Lots of progress in RL research over last 10 years, but too much performance-driven => overfitting to benchmarks (like the ALE). 1⃣ Let's advance science of RL 2⃣ Let's be explicit about how benchmarks map to formalism 1/X
We’re hiring! @sucholutsky and I are seeking a postdoc and RA for a project on trust in AI systems with folks at NYU, Princeton, BU, and Cornell Positions open until filled. Apply soon! Please share 🔁 postdoc: apply.interfolio.com/175495 RA: apply.interfolio.com/175497
E72: David Abel on the Science of Agency @dabelcs (@GoogleDeepMind Senior Research Scientist & @EdinburghUni Fellow) on symmetry between plasticity and empowerment , defining continual RL, why agency is frame-dependent, advice for researchers, and more! Recorded at…
Excited about this new work led by @jonathanrichens, joint with @alexis_bellot_ and @tom4everitt Main result: Any agent that can solve a sufficiently rich set of goal-directed tasks must have learned a predictive model of the environment arxiv.org/abs/2506.01622
Are world models necessary to achieve human-level agents, or is there a model-free short-cut? Our new #ICML2025 paper tackles this question from first principles, and finds a surprising answer, agents _are_ world models… 🧵
Are world models necessary to achieve human-level agents, or is there a model-free short-cut? Our new #ICML2025 paper tackles this question from first principles, and finds a surprising answer, agents _are_ world models… 🧵
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