DQN
A specific deep reinforcement learning system developed by DeepMind that learns to play Atari games from pixels.
What podcasters actually say about DQN.
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Common Themes
Videos Mentioning DQN
Ex Machina's Scientific Advisor - Murray Shanahan
Y Combinator
A specific deep reinforcement learning system developed by DeepMind that learns to play Atari games from pixels.
Deep Reinforcement Learning (John Schulman, OpenAI)
Lex Fridman
A deep Q-learning algorithm that is an online version of neural fitted Q-iteration with useful tweaks like replay pools and target networks.
How to Build the Future: Demis Hassabis
Y Combinator
Deep Q-Network, an early Atari-playing AI program developed by DeepMind that used experience replay.
What Happens After A 1,000,000x AI Compute Leap? | Jeff Dean
Two Minute Papers
Deep Q Network, mentioned as an example of experience replay in RL.
Cooking with OpenAI’s Research Chief: AGI, o1, Evals, and Scaling Laws — Mark Chen
Latent Space
Deep Q-Network, a reinforcement learning algorithm, was Mark Chen's first major project after being inspired by AlphaGo.
The Key Thing Human Brains Have That AI Is Trying To Learn
Y Combinator
Deep Q-learning, a reinforcement learning algorithm mentioned as part of the broader landscape of RL techniques used to model non-differentiable stochastic processes.