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quint

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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)

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No hassle Q-learning library

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