ikelq Goto Github PK

adaptive-bias-rbfnn-control

aff-rbfnn-control-with-the-dpe

paper code of "Adaptive feedforward RBF neural network control with the deterministic persistence of excitation"

aiopen

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

awesome-best-papers

Collect awesome best papers from top AI conferences.

awesome-reinforcement-learning

Learning Resources And Links Of Reinforcement Learning （updating）

awesome-rl

Reinforcement learning resources curated

d4pg-pytorch

PyTorch implementation of Distributed Distributional Deterministic Policy Gradients

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

di-engine

OpenDILab Decision AI Engine

dueling-dqn-pytorch

very easy implementation of dueling DQN in pytorch

e2e-model-learning

Task-based end-to-end model learning in stochastic optimization

enhanced-pid-adaptive-feedforward-neural-network-control

code of paper: Adaptive Feedforward Neural Network Control With an Optimized Hidden Node Distribution

grid2op

Grid2Op a testbed platform to model sequential decision making in power systems.

hello-world

how-to-evaluate-paper-take-two-articals-for-example

incertae

Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments

l2rpn-baselines

L2RPN Baselines a repository to host baselines for l2rpn competitions.

l2rpn-wcci-2020-winner

This repository contains source code of L2RPN WCCI 2020 Winner

load-forecasting-resnet

short-term load forecasting with deep residual networks

mcts

Python Implementations of Monte Carlo Tree Search

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

ml_implementation

Implementation of Machine Learning Algorithms

morel

Model-Based Offline Reinforcement Learning

pandapower

Convenient Power System Modelling and Analysis based on PYPOWER and pandas

powergym

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

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

quantile-regression-dqn-pytorch

A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning

rdrl_po

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

rlkit

Collection of reinforcement learning algorithms