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License: MIT License
Spaced repetition through deep reinforcement learning
License: MIT License
Thanks for putting up the notebook to reproduce the results of the paper!
At one point, the notebook, saves the output fo the experiment to reward_logs.pkl and in the next cell tries to read reward_logs.pkl.[0-5] which fails as only reward_logs.pkl exists.
How should reward_logs.pkl.[0-5] be generated in order to generate the plot?
Hey Sid, Thanks for posting your code! Can you specify the version you used for openAI Gym? I am getting an error that may be related to that. Thanks!
Thank you for the good work on RL based review recommendation!
after reading your article, I could not find the information about dataset used in your experiments. Is it assistment or ednet as in typical knowledge tracing task? I’d appreciate if you could provide it.
also I wonder what the semantic difference is between typical exercise recommendation that aims to maximizing student understanding across all knowledge concepts, and this recall-oriented recommendation.
Hello and thank you for publishing the code!
I have been trying for much longer than I'm willing to admit to get the code to replicate. rllab
is now depricated and not available via pip
, leading to a other difficulties when migrating to garage
. I have tried, in vain, to rewrite the critical parts. Do you have any suggestions on how to repair this?
Hello, for the past few days I have been trying to run your project but still cannot figure out which package versions to use (I used versions that were released around 2017 and up to python 3.5.4 but still somehow end up with tuple comparing errors and others). Would you be able to specify which versions did you use during building?
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