Tiny tabular Q-learning utilities for discrete environments

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  • License: MIT License (MIT)
  • Author: Krishna Bolia
  • Requires: Python >=3.8
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Project description

krishna_qlearn

Tiny tabular Q-learning utilities for discrete environments.

Features

  • qlearn_step: one-step tabular Q-learning update
  • TabularQAgent: easy-to-use tabular Q-learning agent with epsilon-greedy policy
  • Minimal dependencies

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From PyPI (when published):

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  • License: MIT License (MIT)
  • Author: Krishna Bolia
  • Requires: Python >=3.8
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0.1.0

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