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applied-reinforcement-learning

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

banana-gym

A simple stochastic OpenAI environment for training RL agents

cot-gan

COT-GAN: Generating Sequential Data via Causal Optimal Transport

demirelg

doppelganger

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

energy_py

reinforcement learning agents and environments for energy systems

energyboost

Code release of EnergyBoost: Learning-based Control of Home Batteries

gnn-lstm_c-v-r-scuc

This set of codes implements our TPWRS paper "Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment". This work is under the open license: CC BY 4.0.

gnn-powerflow

Graph Neural Network application in predicting AC Power Flow calculation. Developed with Pytorch Geometric framework. My Master Thesis at Eindhoven University of Technology

gym

Custom version of OpenAI Gym

imitation

Clean PyTorch implementations of imitation and reward learning algorithms

machine-learning-goodness

The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tasks with tips.

mapdn

This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).

master_thesis

mtss-gan

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

opf

parl

A high-performance distributed training framework for Reinforcement Learning

power-grid-gans

This project contains an extensible GAN Framework which can be used to generate power grid related data for simulations.

powergridworld

PowerGridworld provides users with a lightweight, modular, and customizable framework for creating power-systems-focused, multi-agent Gym environments that readily integrate with existing training frameworks for reinforcement learning (RL). https://arxiv.org/abs/2111.05969

powergym

A Gym-like environment for Volt-Var control in power distribution systems.

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

renewables_scenario_gen_gan

The implementation of scenario generation for renewables production process

rgan

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

rl-thesisproject-abb

rlgc

An open-source platform for applying Reinforcement Learning for Grid Control (RLGC)

safe-reinforcement-learning-baselines

The repository is for safe reinforcement learning baselines.

synthetic-time-series-smart-grid

Synthetic Time Series Generation using Generative Adversarial Network

udlbook

Understanding Deep Learning - Simon J.D. Prince