Package: MDPtoolbox 4.0.3
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.
Authors:
MDPtoolbox_4.0.3.tar.gz
MDPtoolbox_4.0.3.zip(r-4.5)MDPtoolbox_4.0.3.zip(r-4.4)MDPtoolbox_4.0.3.zip(r-4.3)
MDPtoolbox_4.0.3.tgz(r-4.4-any)MDPtoolbox_4.0.3.tgz(r-4.3-any)
MDPtoolbox_4.0.3.tar.gz(r-4.5-noble)MDPtoolbox_4.0.3.tar.gz(r-4.4-noble)
MDPtoolbox_4.0.3.tgz(r-4.4-emscripten)MDPtoolbox_4.0.3.tgz(r-4.3-emscripten)
MDPtoolbox.pdf |MDPtoolbox.html✨
MDPtoolbox/json (API)
# Install 'MDPtoolbox' in R: |
install.packages('MDPtoolbox', repos = c('https://gchapron.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:20c3fb4eae. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win | NOTE | Nov 01 2024 |
R-4.5-linux | NOTE | Nov 01 2024 |
R-4.4-win | NOTE | Nov 01 2024 |
R-4.4-mac | NOTE | Nov 01 2024 |
R-4.3-win | OK | Nov 01 2024 |
R-4.3-mac | OK | Nov 01 2024 |
Exports:mdp_bellman_operatormdp_checkmdp_check_square_stochasticmdp_computePpolicyPRpolicymdp_computePRmdp_eval_policy_iterativemdp_eval_policy_matrixmdp_eval_policy_optimalitymdp_eval_policy_TD_0mdp_example_forestmdp_example_randmdp_finite_horizonmdp_LPmdp_policy_iterationmdp_policy_iteration_modifiedmdp_Q_learningmdp_relative_value_iterationmdp_spanmdp_value_iterationmdp_value_iteration_bound_itermdp_value_iterationGS