Deep Reinforcement Learning with OpenAI Gym in Python
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Top Comments (10)
To make the code work you need specific versions of the libraries: tensorflow: 2.12.0 gym: 0.25.2 keras-rl2: 1.0.5
Math / theory sounds great! I'd also really appreciate practical use case examples 😊
Hey, nice video, I really enjoyed that one. Could you maybe show us some theory and implementation of SAC or at least actor critic methods of RL?
Yes please, I would really like to learn the theory and mathematics behind this. Thanks in advance!
I would love to watch video about math explanations of NN
would love to see more detail (math and theory) on how these work
Thank you for this video - would def. be down to dive deeper into the theory of what is happening behind the scene as well to gain a deeper understanding - thank you!
right off the bat you start off with extremely useful information .. very nice. you can only do so many request before getting flagged and blocked. Proxies rule , Bots rule, VMs Rule, Tacos Rule
Yea it would be great if u made a series
Omg! Awesome! I just needed to learn this!
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Top Comments (10)
To make the code work you need specific versions of the libraries: tensorflow: 2.12.0 gym: 0.25.2 keras-rl2: 1.0.5
Math / theory sounds great! I'd also really appreciate practical use case examples 😊
Hey, nice video, I really enjoyed that one. Could you maybe show us some theory and implementation of SAC or at least actor critic methods of RL?
Yes please, I would really like to learn the theory and mathematics behind this. Thanks in advance!
I would love to watch video about math explanations of NN
would love to see more detail (math and theory) on how these work
Thank you for this video - would def. be down to dive deeper into the theory of what is happening behind the scene as well to gain a deeper understanding - thank you!
right off the bat you start off with extremely useful information .. very nice. you can only do so many request before getting flagged and blocked. Proxies rule , Bots rule, VMs Rule, Tacos Rule
Yea it would be great if u made a series
Omg! Awesome! I just needed to learn this!