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To test the enclosed code, kindly run the files in order:
For DR number of failures reported in Fig. 5:
1- PendulumQlearnDR.m
2- CountFails_DR.m
For Nearest, FERL, FERLHull reported in Fig. 5:
1- Fuzzification.m
2- PendulumQlearn.m
3- CountFails_Nearest.m
4- CountFails_mFERL.m
5- CountFails_FERL.m
The codes are uploaded on File Exchange - MATLAB Central for reproducibility by fellow researchers.
To reproduce the results in Fig. 3 and Fig. 4, kindly run:
1- In MATLAB command: load agent1; load agent2;
load agent3; load agent4;
g=9.81;
l=7; m=2; %initial parameters
li=6; mi=2.5; %initial estimates
2- The file Ensemble_Pendulum_RAL2024_Simulink_2018a
Base code is used from [1].
[1] Matthew Sheen (2023). Reinforcement Learning Example - Pendulum Controller w/ Animation (https://github.com/mws262/MATLAB-Reinforcement-Learning-Pendulum), GitHub. Retrieved September 15, 2023.
Citation pour cette source
Abdel Gafoor Haddad (2026). RL Ensemble (https://fr.mathworks.com/matlabcentral/fileexchange/135447-rl-ensemble), MATLAB Central File Exchange. Extrait(e) le .
Informations générales
- Version 1.0.3 (1,32 Mo)
Compatibilité avec les versions de MATLAB
- Compatible avec toutes les versions
Plateformes compatibles
- Windows
- macOS
- Linux
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.0.3 | Added more comments and user guide. |
||
| 1.0.2 | Aligned FERL |
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| 1.0.1 | Added user guide |
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| 1.0.0 |
