Sula889's Stars
pawerrs/ImpulseResponseInVLCModel
Python implementation of impulse response in Visible Light Communications system using MMC method.
david-abel/simple_rl
A simple framework for experimenting with Reinforcement Learning in Python.
douglaskataki/Optical-Wireless-Communications
Códigos feitos para VLC
Tapanraj/Clustering-Customer-Demand
Clustering Electricity Usage of a Customer by Hour using Kmeans algorithm.
wojiushimogui/kmeans
kmeans算法的python实现
patilvijay23/MLinPython
vishnupriyaguddeti/Optimal-Edge-Server-Placement-using-K-means-and-PSO
Optimal placement of edge servers using K-means Clustering and Power allocation using Particle Swarm Optimization
baturaysaglam/RIS-MISO-PDA-Deep-Reinforcement-Learning
Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning Under the Phase-Dependent Amplitude Model
Haoran-S/DeepMIMO
Use DeepMIMO dataset to generate samples for wireless power allocation
Haoran-S/TSP-DNN
Training Deep Neural Networks for Wireless Resource Management
LxzGordon/Deep-Reinforcement-Learning-with-pytorch
Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO
le-liang/ResourceAllocationDelayedCSI
Spectrum and power allocation for vehicular communications with delayed CSI feedback, IEEE Wireless Communications Letters
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
MorvanZhou/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Riashat/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Riashat/K-Means-Clustering
An implementation of K Means Clustering algorithm in Python and some applications
Riashat/Q-Learning-SARSA-Policy-and-Value-Iteration
Implementation of basic reinforcement learning algorithms (Q-learning, SARSA, Policy iteration and Value Iteration) on benchmark RL MDPs (GridWorld, SmallWorld and CliffWorld)
AnirbanBanik1998/SPARQ
Mobility-aware Dynamic Joint Power Control and Resource Allocation for D2D underlaying cellular networks
lazyprogrammer/machine_learning_examples
A collection of machine learning examples and tutorials.
vmayoral/basic_reinforcement_learning
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
tech-quantum/techquantum-demos
Sharing examples, demos showcased in the tech-quantum blogs
andjelatodorovic/Deep_MLO
ishfaq06/Mobility-Prediction-using-Deep-Learning
Different types of Deep Learning model is used to predict users' mobility using cells and location data available at http://realitycommons.media.mit.edu/RealityMining.zip
ishfaq06/Supervised-Deep-Learning-for-Radio-Resource-Allocation
A supervised deep learning based resource allocation scheme for multi-cell wireless system.
ishfaq06/Deep-Q-Learning-based-Downlink-Power-Allocation
A deep reinforcement learning based approach is used to allocate downlink power for multi-cell wireless system.
fakemonk1/Reinforcement-Learning-Lunar_Lander
fdasilva59/Udacity-Deep-Reinforcement-Learning-Nanodegree
Repository for the Udacity Deep Reinforcement Learning Nanodegree
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
chestapahuja/neural-network-from-scratch
francescotorregrossa/deep-reinforcement-learning-nanodegree
Exercises and projects from Udacity's Nanodegree