quint
No hassle Q-learning library
Quint is a minimal path finding library useful for discrete state scenarios
Usage
Install : pip install quint
Import : from quint import quint
Instantiate : model = quint(reward_matrix, gamma) (refer quint docstring for matrix structure)
Override quint.act() to your own action function
Learn : model.learn(final_state, iterations)
Trace : model.find_optimum_path(from_state)
MIT License
Copyright (C) 2014 Abhinav Tushar
1 maintainer
Metadata
1 maintainer
Release files for quint 0.1
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Source distribution (sdist)
| File | Size | Uploaded | |
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| quint-0.1.zip | 4.8 kB | Details |
Release files / quint-0.1.zip
| Download URL | quint-0.1.zip |
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| Size | 4.8 kB |
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