Uploaded September 2021 | Updated September 2026, 1 week ago
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Andrew G. Barto is a former computer scientist and professor emeritus known for his research on learning in machines and animals. He worked on developing learning algorithms that are useful for engineering applications but that also make contact with learning as studied by psychologists and neuroscientists.
When it comes to reinforcement learning (RL), it has been immensely gratifying for Andrew to participate in establishing new links between RL and methods from the theory of stochastic optimal control. Especially exciting are the connections between temporal difference (TD) algorithms and the brain's dopamine system.
Plenty of people knows him as one of the authors of the great book โReinforcement Learning: An Introductionโ which he wrote with his colleague Richard Sutton.
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#MachineLearning
#ArtificialIntelligence
#ReinforcementLearning
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๐ APEX Consulting: theapexconsulting.com
๐ Website: jousefmurad.com
๐ฌ Full podcast: youtube.com/watch?v=D-VULoe0IPI
Andrew G. Barto is a former computer scientist and professor emeritus known for his research on learning in machines and animals. He worked on developing learning algorithms that are useful for engineering applications but that also make contact with learning as studied by psychologists and neuroscientists.
When it comes to reinforcement learning (RL), it has been immensely gratifying for Andrew to participate in establishing new links between RL and methods from the theory of stochastic optimal control. Especially exciting are the connections between temporal difference (TD) algorithms and the brain's dopamine system.
Plenty of people knows him as one of the authors of the great book โReinforcement Learning: An Introductionโ which he wrote with his colleague Richard Sutton.
ONLINE PRESENCE
================
๐ My website - jousefmurad.com
๐ My weekly science newsletter - jousef.substack.com
๐ธ Instagram - instagram.com/jousefmrd
๐ฆ Twitter - twitter.com/Jousefm2
SUPPORT MY WORK
=================
๐ Science Merch: engineered-mind.creator-spring.com
๐ Become my Patreon: patreon.com/theengiineer
๐ง Subscribe for more free videos: bit.ly/2RLmMxq
RECOMMENDATIONS
==================
๐ฅ 1 Month Free of Skillshare Premium: bit.ly/3E3bXwC
๐ Books on AI, Data Science & Programming: bit.ly/2I1lUD1 - use "podengineered20" to get a 40% discount!
CONTACT:
-----------------
If you need help or have any questions or want to collaborate feel free to reach out to me via email: engineeringmkl@gmail.com
#MachineLearning
#ArtificialIntelligence
#ReinforcementLearning
Disclaimer: Some of these links are affiliate links which make me earn a small commission when you make a purchase at no additional cost to you.
![[FEM] Von Mises Yield Criterion - Good Enough?](https://i.ytimg.com/vi/gBea-u4r14c/mqdefault.jpg "[FEM] Von Mises Yield Criterion - Good Enough?
๐ APEX Consulting: https://theapexconsulting.com
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๐ฌ Full podcast: https://www.youtube.com/watch?v=EcfswZ0qJws
Lukasz Skotny is an FEA consultant, and academic teacher. He has been involved with Finite Element Analysis (FEA) for more than 10 years now which included various projects in at least 20 countries on 4 continents.
Thanks to his experience both in applied FEA and academic teaching he is creating teaching material to avoid frustrations. According to Lukasz, he says that โFEA is a wonderful tool that can have a tremendous impact on your career โ give it a try, you wonโt regret it.โ In this clip, Lukasz talks about the von Mises criterion and if it is the only indicator to see if a structure is failing.
ONLINE PRESENCE
๐ My website - http://jousefmurad.com/
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SUPPORT MY WORK
๐ Science Merch: https://engineered-mind.creator-spring.com/
๐ Become my Patreon: https://www.patreon.com/theengiineer
๐ง Subscribe for more free videos: https://bit.ly/2RLmMxq
RECOMMENDATIONS
๐ฅ 1 Month Free of Skillshare Premium: https://bit.ly/3E3bXwC
๐ Books on AI, Data Science & Programming: https://bit.ly/2I1lUD1 - use podengineered20 to get a 40% discount!
CONTACT:
If you need help or have any questions or want to collaborate feel free to reach out to me via email: engineeringmkl@gmail.com
Image courtesy: SimScale
#FEM
#FEA
#Simulation
Disclaimer: Some of these links are affiliate links which make me earn a small commission when you make a purchase at no additional cost to you.")
