RL Ensemble

RL Ensemble
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Updated 8 Oct 2024

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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.

Cite As

Abdel Gafoor Haddad (2024). RL Ensemble (https://www.mathworks.com/matlabcentral/fileexchange/135447-rl-ensemble), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2023b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.2

Aligned FERL

1.0.1

Added user guide

1.0.0