hh30hh's Stars
janishar/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
DLR-RM/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
MorvanZhou/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.
sweetice/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
Solutions of Reinforcement Learning, An Introduction
e2nIEE/pandapower
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
ChenglongChen/pytorch-DRL
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Grid2op/grid2op
Grid2Op a testbed platform to model sequential decision making in power systems.
openai/phasic-policy-gradient
Code for the paper "Phasic Policy Gradient"
Future-Power-Networks/MAPDN
This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).
txizzle/drl
Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning
AsprinChina/L2RPN_NIPS_2020_a_PPO_Solution
This is a solution for L2RPN_NIPS_Competitions_2020, and it wins 2nd prize.
Grid2op/grid2viz
This repository is a tool for visualizing an agent RL process from a grid2op format. It was made though a partnership between RTE and Artelys for the different challengers of the L2RPN RL Challenge.
microsoft/microsoft-bonsai-api
A collection of libraries for interfacing simulators with the Bonsai platform.
kevinrussellmoy/smart-rl-mg
Reinforcement Learning + Microgrids for OpenDSS with the Stanford Microgrid Analysis and Research Training internship
vegraux/master_thesis
sudokhan112/Hybrid-electric-vehicle
GhadaSokar/Dynamic-Sparse-Training-for-Deep-Reinforcement-Learning
[IJCAI 2022] "Dynamic Sparse Training for Deep Reinforcement Learning" by Ghada Sokar, Elena Mocanu , Decebal Constantin Mocanu, Mykola Pechenizkiy, and Peter Stone.
tahanakabi/microgrid_demo
anushaihalapathirana/RL-Pymgrid-tool
rte-france/gridAlive
Grid Alive
thediavel/RL-ThesisProject-ABB
fapont/hackaton-hiparis-2021
Solution proposée pour le hackaton Hi Paris 2021
dongqi-wu/PyProD---A-AI-Friendly-Power-Distribution-System-Protection-Platform
aamrani-dev/HPO_PYMGRID
anlu1601/openAI_gym_Q_Learning
hh30hh/safety-starter-agents
Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.
roanhope/microgrid-RL
Microgrid/distribution network level energy market managed by an RL agent
roanhope/RL-Energy-Management