Markov Decision Process - Pendulum Control
Takes a single pendulum (with a torque actuator) and models it as a Markov Decision Process (MDP), using linear barycentric interpolation over a uniform grid. Then, value iteration is used to compute the optimal policy, which is then displayed as a plot. Finally, a simulation is run to demonstrate how to evaluate the optimal policy.
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Matthew Kelly (2024). Markov Decision Process - Pendulum Control (https://github.com/MatthewPeterKelly/MDP_Pendulum), GitHub. Recuperado .
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Versión | Publicado | Notas de la versión | |
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1.4.0.0 | Changed name |
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1.3.0.0 | updated photo |
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1.2.0.0 | added a photo. |
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1.1.0.0 | Improved error handling regarding the MEX functions. |
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1.0.0.0 |
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