Excited to view the complete series. One Request, Please do not use FinRL module for main RL tasks such as env. Please try to build an environment from scratch. With built in envs it not interesting.
Hey, great to know that someone is interested! :) As you may see, I already started creating environment from scratch (in this tutorial). I didn't had time to work on it, but next week I am continuing on it and hope to release second part soon!
That btc sinusoidal data looks too sinusoidal? I'm not a programmer just a crypto trader starting to get into this, but btc isn't usually that predictable bouncing between support and resistance. How will the AI learn to trade from data that isn't representative of typical btc price action?
This sinusoidal data is to find all bugs and to check whether our AI agent is learning anything. The code will be used to train model on real data :) Even not sure if this will work, but I'll try
Please do a tutorial of AI bot learning toplay web games watching pixel screens not in built game gymnasium... perhaps custom env gymnasium with RAY Rllib tensorflow library.. Waiting for it
Hey, it's not a problem to create such tutorial, problem is that RL requires many iterations to start learning something. I don't have such resources to run 100 simultaneous custom environments
Sir this channel is best for learning things about ML and AI love these videos
Thank you for your kind words, I appreciate that! :)
The datafeeder is similar to pytorch data loader implementation. Nice work and interesting package.
Thank you mate, its only the beginning ! :)
Excited to view the complete series. One Request, Please do not use FinRL module for main RL tasks such as env. Please try to build an environment from scratch. With built in envs it not interesting.
Hey, great to know that someone is interested! :) As you may see, I already started creating environment from scratch (in this tutorial). I didn't had time to work on it, but next week I am continuing on it and hope to release second part soon!
不错
That btc sinusoidal data looks too sinusoidal? I'm not a programmer just a crypto trader starting to get into this, but btc isn't usually that predictable bouncing between support and resistance. How will the AI learn to trade from data that isn't representative of typical btc price action?
This sinusoidal data is to find all bugs and to check whether our AI agent is learning anything. The code will be used to train model on real data :) Even not sure if this will work, but I'll try
Please do a tutorial of AI bot learning toplay web games watching pixel screens not in built game gymnasium... perhaps custom env gymnasium with RAY Rllib tensorflow library.. Waiting for it
Hey, it's not a problem to create such tutorial, problem is that RL requires many iterations to start learning something. I don't have such resources to run 100 simultaneous custom environments
Well done, but when I run your code, No module named 'finrock', how to fix this?
I assume I already replied you in GitHub, install it locally: `pip install .`
Bro. In handwriting word recognition accuracy is not printing how to do it?? Please help.
Hey, it seems you wrote comment to wrong video