Simpler more general build_state

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Assessment

Difficulty
2/5
Estimated time
1-3 hours
Newbie friendliness
45/100
Issue type
Refactor
Clarity
Mostly clear
Activity status
Stale
Tech stack
python
Domain
machine-learning

Research direction

Search the repository for the build_state function and inspect the other example referenced in the issue for its base-conversion approach. Verify the generalized state encoding with NUM_BINS set to 20 and confirm existing feature combinations still produce distinct states.

Written by the indexing model from the issue text.

Description

If you want to try more than 10 bins you can use the idea from one of your other examples... convert base NUM_BINS to base 10.

NUM_BINS = 20
def build_state(features):
val = NUM_BINS3 * features[3] + NUM_BINS2 * features[2] + NUM_BINS*features[1]+features[0]

Dominant language
Python
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