3 papers
cs.RO2023
Fuzzy Ensembles of Reinforcement Learning Policies for Robotic Systems with Varied Parameters
Abdel Gafoor Haddad, Mohammed B. Mohiuddin, Igor Boiko +1
Reinforcement Learning (RL) is an emerging approach to control many dynamical systems for which classical control approaches are not applicable or insufficient. However, the result…
eess.SY2023
Reinforcement Learning Generalization for Nonlinear Systems Through Dual-Scale Homogeneity Transformations
Abdel Gafoor Haddad, Igor Boiko, Yahya Zweiri
Reinforcement learning is an emerging approach to control dynamical systems for which classical approaches are difficult to apply. However, trained agents may not generalize agains…
hep-th2022
Monte-Carlo simulation of the Gaussian BFSS matrix model at large number of dimensions
Abdelhamid Haddad, Badis Ydri
In this thesis, we studied a Gaussian approximation to the bosonic part of the BFSS matrix model using Monte Carlo simulations based on the Metropolis algorithm. We reproduce with…