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License: MIT License
A collection of DL experiments and notes
License: MIT License
Thanks for your nice effort, this one is the best post for a RL starter I have ever seen.
What should I do if I want to save the model during training and load from saved one for test?
Ok, I did it :)
Hello Professor, Earlier you did the explanation for the code:
solaris33/CatchGame-QLearningExample-TensorFlow
but later you removed it.
Can you please again post it.
And when i executed the code on jupyter notebook the game is not running as fast as shown in the GIF of the solaris33.
Is it due to my system specifications or someting else.
Thankyou
This is not an issue per se. But if you look at the notebook, there is one cell where the output is 5000 lines. This makes the Ipynb look much, much larger than it is.
Suggestion is to suppress printing those lines. (Plot win% over time instead.) Thanks much for this work. (Very clear and very useful)
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