ski is a package for educational purposes
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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