Co-authored the original DQN preprint: a core reference for deep reinforcement learning.
Researcher Profile
Alex Graves
Deep Q-Networks (DQN)
Researcher at University of Pisa
Co-authored the original DQN preprint: a core reference for deep reinforcement learning.
Organizations
Topics
About This Page
This profile is meant to help you get oriented quickly: why this researcher matters, what to read first, and where to explore next.
Last updated
March 20, 2026
Best First Clicks
Official And External Links
Known For
The ideas, systems, and research directions that make this person worth knowing.
01
Deep Q-Networks (DQN)
02
Playing Atari with Deep Reinforcement Learning
03
Deep RL
04
Games
05
Reinforcement Learning
Start Here
Canonical papers, project pages, or repositories that anchor this profile.
Signature Works
Additional papers, projects, or repositories that help flesh out the profile.
Related Researchers
People worth exploring next because they share topics, labs, or source material with this profile.
Co-authored the original DQN preprint: a core reference for deep reinforcement learning.
Co-authored the original DQN preprint: a core reference for deep reinforcement learning.
A high-signal figure for understanding the frontier model era because his work sits at the intersection of scaling, post-training, and deployment-risk framing.
One of the clearest anchors for understanding why scaling laws became such a central planning tool for frontier-model research and training strategy.
A high-signal researcher for understanding how post-training and behavioral steering become concrete product behavior rather than abstract alignment talk.