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Looks good overall. Please post if have a promising result on actual notebooks, then we can merge this in.
When we train on actual notebooks, it may be worth looking at parallel learning in both episodes + learners to save learning time.
experiments/pod.Dockerfile
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No need for this. Docker compose mount the pod directory so notebooks/simple.ipynb will be there
pod/model.py
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If you really want to visualize, you can 1) plot and save fig, or 2) dump to csv/json and plot later
pod/train.py
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Reward function needs more thought.