Skip to main content
Help us improve PyPI by participating in user testing. All experience levels needed!

Quint is a minimal path finding library useful for discrete state scenarios

Project description

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

Project details


Release history Release notifications

This version
History Node

0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
quint-0.1.zip (4.8 kB) Copy SHA256 hash SHA256 Source None May 16, 2014

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page