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.
|Author||Iadine Chades, Guillaume Chapron, Marie-Josee Cros, Frederick Garcia, Regis Sabbadin|
|Maintainer||Guillaume Chapron <firstname.lastname@example.org>|
|License||BSD_3_clause + file LICENSE|
|Package repository||View on CRAN|
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