Deep RL for Human-Level Control 🎮
Explores the Deep Q-Network (DQN) paper, showcasing how deep reinforcement learning achieves human-level control in various tasks.

NiklasOPF
542 views • Sep 13, 2021

About this video
This video provides a detailed walkthrough of the paper Human-level control through deep reinforcement learning, which introduced the Deep Q-Network (DQN) framework and demonstrated human-level performance on a range of Atari 2600 games.
Referenced paper:
* Mnih et al., Human-level control through deep reinforcement learning: https://www.nature.com/articles/nature14236
Related material:
* Deterministic policy gradient algorithms (video): https://www.youtube.com/watch?v=xt2AnvgvRrQ&t=112s
Other videos in this series:
* https://www.youtube.com/watch?v=W9e7kiATnso
* https://www.youtube.com/watch?v=A0OVmImyFEA
* https://www.youtube.com/watch?v=cqR2VTldzy0
* https://www.youtube.com/watch?v=tK5_rY6n6lg
Thank you for watching.
Referenced paper:
* Mnih et al., Human-level control through deep reinforcement learning: https://www.nature.com/articles/nature14236
Related material:
* Deterministic policy gradient algorithms (video): https://www.youtube.com/watch?v=xt2AnvgvRrQ&t=112s
Other videos in this series:
* https://www.youtube.com/watch?v=W9e7kiATnso
* https://www.youtube.com/watch?v=A0OVmImyFEA
* https://www.youtube.com/watch?v=cqR2VTldzy0
* https://www.youtube.com/watch?v=tK5_rY6n6lg
Thank you for watching.
Video Information
Views
542
Likes
8
Duration
8:50
Published
Sep 13, 2021
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