shlhab Goto Github PK

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

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

pytorch_simple_policy_gradients

Reimplementation of simple policy gradient algorithms such as REINFORCE and Actor-Critic methods.

reinforcement-learning

RL used in optimal control and MDP fields

resnet-9

Designed a smaller architecture implemented from the paper Deep Residual Learning for Image Recognition and achieved 93.65% accuracy.

resnet18-pytorch

A model demo which uses ResNet18 as the backbone to do image recognition tasks.Using Pytorch.

retro_branching

Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.

rl2branch

sgd-variant

stackelberg-actor-critic-algos

vpg-pytorch

Minimalistic implementation of Vanilla Policy Gradient with PyTorch