Project description

ski

(ski)[https://pypi.org/project/ski/] is a Python package for running reinforcement learning (RL) experiments on an inventory control problem called retailing skis (Eric V. Denardo [1982]). The problem is formulated as Markov decision process (MDP) and solved by fundamental RL algorithms including Monte Carlo (MC) method, Sarsa, Q-learning, and double Q-learning in both tabular and value approximation manner.

(Visit repository on Github)[https://github.com/papillonbee/ski]

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0.1.12

Mar 22, 2020

This version

0.1.11

Mar 22, 2020

0.1.10

Mar 14, 2020

0.1.9

Mar 13, 2020

0.1.8

Mar 12, 2020

0.1.7

Mar 10, 2020

0.1.6

Mar 7, 2020

0.1.5

Mar 7, 2020

0.1.4

Mar 7, 2020

0.1.3

Mar 7, 2020

0.1.2

Mar 7, 2020

0.1.1

Mar 6, 2020

0.1.0

Mar 6, 2020

0.0.32

Mar 6, 2020

0.0.31

Mar 6, 2020

0.0.30

Mar 6, 2020

0.0.29

Mar 6, 2020

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Uploaded Mar 22, 2020 Python 3

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