Danijar Hafner on Dreamer v4 - TalkRL: The Reinforcement ...

What this episode covers

Danijar Hafner was a Research Scientist at Google DeepMind until recently.Featured References Training Agents Inside of Scalable World Models [ blog ] Danijar Hafner, Wilson Yan, Timothy LillicrapOne Step Diffusion via Shortcut ModelsKevin Frans, Danijar Hafner, Sergey Levine, Pieter AbbeelAction and Perception as Divergence Minimization [ blog ] Danijar Hafner, Pedro A. Ortega, Jimmy Ba, Thomas Parr, Karl Friston, Nicolas Heess Additional References Mastering Diverse Domains through World Models [ blog ] DreaverV3l Danijar Hafner, Jurgis Pasukonis, Jimmy Ba, Timothy Lillicrap Mastering Atari with Discrete World Models [ blog ] DreaverV2 ; Danijar Hafner, Timothy Lillicrap, Mohammad Norouzi, Jimmy Ba Dream to Control: Learning Behaviors by Latent Imagination [ blog ] Dreamer ; Danijar Hafner, Timothy Lillicrap, Jimmy Ba, Mohammad Norouzi Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos [ Blog Post ], Baker et al

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Frequently Asked Questions

How long is this episode of TalkRL: The Reinforcement Learning Podcast?

This episode is 1 hour and 40 minutes long.

When was this TalkRL: The Reinforcement Learning Podcast episode published?

This episode was published on November 10, 2025.

What is this episode about?

Danijar Hafner was a Research Scientist at Google DeepMind until recently.Featured References Training Agents Inside of Scalable World Models [ blog ] Danijar Hafner, Wilson Yan, Timothy LillicrapOne Step Diffusion via Shortcut ModelsKevin Frans,...

Is there a transcript available for this episode?

Yes, a full transcript is available for this episode. You can read the complete transcript on the episode page.

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