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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.
Package details |
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Author | Iadine Chades, Guillaume Chapron, Marie-Josee Cros, Frederick Garcia, Regis Sabbadin |
Maintainer | Guillaume Chapron <gchapron@carnivoreconservation.org> |
License | BSD_3_clause + file LICENSE |
Version | 4.0.3 |
Package repository | View on CRAN |
Installation |
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