Search Results for author:
Found 2 papers, 1 papers with code
Multiple Estimation Models for Discrete-time Adaptive Iterative Learning Control
Our strategy uses the last component of the identification error to tune these estimates of the model parameters.
Comparison of Reinforcement Learning algorithms applied to the Cart Pole problem
In this paper, RL is explored in the context of control of the benchmark cartpole dynamical system with no prior knowledge of the dynamics.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
