Deep Reinforcement Learning: Neural Networks for Learning Control Laws

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Publicado 2021-02-19

Deep learning is enabling tremendous breakthroughs in the power of reinforcement learning for control. From games, like chess and alpha Go, to robotic systems, deep neural networks are providing a powerful and flexible representation framework that fits naturally with reinforcement learning. In this video, we provide an overview of developments in deep reinforcement learning, along with leading algorithms and impressive applications.

Citable link for this video: doi.org/10.52843/cassyni.9tngmc

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This video was produced at the University of Washington

Todos los comentarios (21)

@v1e2ridisQ3u4o hace 3 años

Shouting out Two minute papers in a Brunton video - best crossover episode ever!
@1996butuq hace 3 años

Really love your videos! Would love to see more about deep reinforcement learning used in the field of Robotics.
@MathematicsOptimization hace 3 años

Very valuable resources that get uploaded here, thank you!
@saitaro hace 3 años

Your work is so inspiring, Steve.
@Raven-bi3xn hace 1 año

Really great video. The most complicated problem that I’ve seen RL solve is openAI dota 2. Mind blowing.
@ajaykumar-rh2gz hace 2 años

Thanks Steve very beautifully explained. From my point you are the best teacher ever I have seen. Please teach us or upload some lecture on designing own custom environment.
@Bill0102 hace 5 meses

I'm immersed in this. I read a book with a similar theme, and I was completely immersed. "The Art of Saying No: Mastering Boundaries for a Fulfilling Life" by Samuel Dawn
@user-qp2ps1bk3b hace 3 años

thank you for your amazing content! I learn so much about the world with your videos
@shanwuli745 hace 3 años

Thanks Steve! I believe it will be also interesting to compare model-based and model-free RL.
@swk229 hace 3 años

Thank you! I've learned so much from your videos. Please machine learning and reinforcement learning and MPC with fuzzy logic.
@samurock100 hace 1 año

Easy to digest information. Enjoying learning from this account.
@arpitshrimankar7787 hace 3 años

Great video! Would like to see a video about "Hindsight experience replay " in Reinforcement Learning.
@matthewchunk3689 hace 3 años

Thumbs up and subscribed. Keep up the valuable work 👍
@kouider76 hace 3 años

Thank you Prof. Brunton for the valuable content. I will be a bit greedy and ask if you can upload a video including an example coded in Matlab or Python Thank you again for all your efforts
@apurvdhir7062 hace 3 años

Someday I would love to attend your lectures live.:))))
@motbus3 hace 3 años

Really nice exposé video! as always, your explanations are fantastic! do you think you can give some practical examples with code too ?
@skeletonrowdie1768 hace 2 años

lol you're the eigensteve. All other steve's are just a linear combination of your properties XD. love it.
@faqeerhasnain hace 1 año

Great Insight. Thank you
@ianzhang862 hace 3 años

Thank you Professor! Are we starting a new video series on machine learning control?
@TheKhakPakflyest hace 3 años

WE LOVE YOU STEVE!!!