ibrahimth's repositories
Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
MARLspectrumSharingV2X
Companion repository for the paper: L. Liang, H. Ye, and G. Y. Li, "Spectrum sharing in vehicular networks based on multi-agent reinforcement learning," to appear in IEEE Journal on Selected Areas in Communications, Sep. 2019.
ARBML
Implementation of many fun projects that support Arabic and ML.
CS238-final
Final Project for CS238
DDPG-Tennis
Attempt to solve a collaborative table tennis Unity environment with DDPG and population based training
Deep-Learning-Tensorflow
Gathers Tensorflow deep learning models.
Deep-Reinforcement-Learning-for-5G-Networks
Code for my publication: Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. Paper under review.
Deep-Reinforcement-Learning-for-Dynamic-Spectrum-Access
Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication
Device-to-device
服务D2D、V2V仿真
Distributed-MADDPG
Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.
drl-rec
Deep reinforcement learning for recommendation system
github_repository_collection
将自己点星的一些仓库进行整理
MAAC
Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
MachineLearning
一些关于机器学习的学习资料与研究介绍
Mathematics_for_Beginners
This is the formula sheet for "Mathematics for Beginners" by Siraj Raval on Youtube
mpslib
A C++ class for Mutiple Point Simulation algorithms
ns2.35
ns2 for research
pbt
Population Based Training (in Tensorflow with sqlite3)
PBT-TF.Estimator-with-Ray.Tune
The example how to use population based training (PBT) implemented in Ray.Tune with TensorFlow tf.estimator.
Python-Textbook-Companions
Repository to store all the Python Textbook Companions.
ResourceAllocationReinforcementLearning
intial version
sumo
SUMO is an open source, highly portable, microscopic and continuous road traffic simulation package designed to handle large road networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
Tensorflow-DeepMind-Atari-Deep-Q-Learner-2Player
A code reimplementation of DeepMind's "Multiagent Cooperation and Competition with Deep Reinforcement Learning" with Tensorflow
transfer-learning-conv-ai
🦄 State-of-the-Art Conversational AI with Transfer Learning
vanet_simulator
Data analysis and network simulator given a sumo simulation