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fastrl is a reinforcement learning library that extends Fastai. This project is not affiliated with fastai or Jeremy Howard.

Home Page: https://josiahls.github.io/fastrl/

License: Apache License 2.0

Dockerfile 0.48% Python 39.36% Jupyter Notebook 60.09% Makefile 0.04% CSS 0.03%

ddpg dqn fastai pytorch reinforcement-learning torchdata

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fastrl's Issues

Final Loop Features

callback referencing the base loop for the state cleanly
- I think having examples of callbacks that reference custom base loops will be the best strategy for the time being.
allow passing in kwargs and updating fields in the base loop based on the callback output
allow displaying the expected kwargs for something in a callback, and the expected output fields that the callback will modify
allow cycling/repeating a loop. Possibly we could just delegate this to the specific loop run method to do the cycling.
should inner loops be allowed any state or should there be a clever way to do delegation?
- Probably not
a non-ugly way of displaying the loop.

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