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qarl

Python library for Quantile Assessment using Reinforcement Learning (RL).

key features

  • estimation under poor supervising (guesses of the agent are corrected only by boolean feedback "less" or "greater")
  • openendedness (estimation of non-stationary distributions)
  • estimation of distribution of random variable
  • estimation of distribution of non-stationary stochastic variable