Markov Decision Processes Toolbox propose un ensemble de fonctions relatives à la résolution de Processus Décisionnels de Markov.
The Markov Decision Processes (MDP) toolbox proposes functions related to the resolution of discrete-time Markov Decision Processes : finite horizon, value iteration, policy iteration, linear programming algorithms with some variants and also proposes some functions related to Reinforcement Learning.
MATLAB, GNU Octave, Scilab and R.
A Python development was also made by S. Cordwel.
Lic BSD 4.4