MDPtoolbox
Markov Decision Processes Toolbox
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.
- Version4.0.3
- R versionunknown
- LicenseBSD_3_clause
- LicenseLICENSE
- Needs compilation?No
- Last release03/03/2017
Team
Guillaume Chapron
Iadine Chades
Marie-Josee Cros
Frederick Garcia
Regis Sabbadin
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- Depends2 packages