Pinned Repositories
benchmark_bilevel
benchmark for bi-level optimization solvers
ComputerVisionTestField
Control-Theory
Deep-Reinforcement-Learning-Optimal-Control
This repository contains PyTorch implementations of deep reinforcement learning algorithms and environments for Robotics and Controls. The goal of this project is to include engineering applications for industrial optimization. I reproduce the results of several model-free and modelbased RL algorithms in continuous and discrete action domains.
DRLforPowerSystemRecovery
Master Thesis Project for DRL in power system restoration using renewables
ecole
Extensible Combinatorial Optimization Learning Environments
github-slideshow
A robot powered training repository :robot:
Grid2Op
Grid2Op a testbed platform to model sequential decision making in power systems.
MATLAB
This is my public repo of all my MATLAB Screen cast codes and other random codes written in MATLAB
PracticalIntroductionNN
Repository for the graduate course "Practical Introduction to Neural Networks" at the University of Washington
SHlHAB's Repositories
SHlHAB/benchmark_bilevel
benchmark for bi-level optimization solvers
SHlHAB/ComputerVisionTestField
SHlHAB/Control-Theory
SHlHAB/Deep-Reinforcement-Learning-Optimal-Control
This repository contains PyTorch implementations of deep reinforcement learning algorithms and environments for Robotics and Controls. The goal of this project is to include engineering applications for industrial optimization. I reproduce the results of several model-free and modelbased RL algorithms in continuous and discrete action domains.
SHlHAB/DRLforPowerSystemRecovery
Master Thesis Project for DRL in power system restoration using renewables
SHlHAB/ecole
Extensible Combinatorial Optimization Learning Environments
SHlHAB/github-slideshow
A robot powered training repository :robot:
SHlHAB/Grid2Op
Grid2Op a testbed platform to model sequential decision making in power systems.
SHlHAB/MATLAB
This is my public repo of all my MATLAB Screen cast codes and other random codes written in MATLAB
SHlHAB/PracticalIntroductionNN
Repository for the graduate course "Practical Introduction to Neural Networks" at the University of Washington
SHlHAB/python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
SHlHAB/pytorch_simple_policy_gradients
Reimplementation of simple policy gradient algorithms such as REINFORCE and Actor-Critic methods.
SHlHAB/Reinforcement-learning
RL used in optimal control and MDP fields
SHlHAB/ResNet-9
Designed a smaller architecture implemented from the paper Deep Residual Learning for Image Recognition and achieved 93.65% accuracy.
SHlHAB/ResNet18-Pytorch
A model demo which uses ResNet18 as the backbone to do image recognition tasks.Using Pytorch.
SHlHAB/retro_branching
Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.
SHlHAB/rl2branch
SHlHAB/SGD-variant
SHlHAB/stackelberg-actor-critic-algos
SHlHAB/VPG-PyTorch
Minimalistic implementation of Vanilla Policy Gradient with PyTorch