Pinned 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
5gm-beam-selection
Beam-selection for mmWave MIMO using machine learning
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
awesome-algorithm
LeetCode, HackRank, 剑指offer, classic algorithm implementation
BACombo
cloudsim
CloudSim: A Framework For Modeling And Simulation Of Cloud Computing Infrastructures And Services
datastructs_and_algorithm
Data struct and algorithm introduction and implementation in C/C++/Java.
ddpg_maddpg_networked_control
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
deep-rl-tensorflow
TensorFlow implementation of Deep Reinforcement Learning papers
czp199468's Repositories
czp199468/Review-State-Detector
czp199468/BACombo
czp199468/DeepLearningAI-Tensorflow-Developer
Keep all the exercise and practices for Deep Learning AI using the Tensorflow framework. CNN, NLP, Time Series. Built with Python and Tensorflow.
czp199468/Multi-Agent-Reinforcement-Learning-papers
Multi-Agent Reinforcement Learning (MARL) papers
czp199468/leaf
Leaf: A Benchmark for Federated Settings
czp199468/Wireless-FL
czp199468/tf-fed-demo
A federated learning demo for AlexNet on CIFAR-10 dataset, basing on Tensorflow.
czp199468/FLDRL-in-Wireless-Communication
Apply Deep Reinforcement Learning aided by Federated Learning to Wireless Comunication
czp199468/leedeeprl-notes
李宏毅《深度强化学习》笔记，在线阅读地址：https://datawhalechina.github.io/leedeeprl-notes/
czp199468/pymarl
Python Multi-Agent Reinforcement Learning framework
czp199468/flsim
A simulation framework for Federated Learning written in PyTorch
czp199468/DeepRL
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
czp199468/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
czp199468/RLexample
Some basic examples of playing with RL
czp199468/PARL
A high-performance distributed training framework for Reinforcement Learning
czp199468/ddpg_maddpg_networked_control
czp199468/DOP
Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (https://arxiv.org/abs/2007.12322)
czp199468/introRL
Intro to Reinforcement Learning (强化学习纲要）
czp199468/Federated-Learning-Backdoor-Example-with-MNIST-and-CIFAR-10
This is a simple backdoor model for federated learning.We use MNIST as the original data set for data attack and we use CIFAR-10 data set for backdoor model in the model attack.This is a brief paper recurrence for "How To Backdoor Federated Learning? "
czp199468/MINLP
关于MINLP问题的一些资料（Resources of MINLP problem）
czp199468/RLcode
czp199468/mfrl
Mean Field Multi-Agent Reinforcement Learning
czp199468/DQN_MADDPG_practice
RL projects including implementation of DQN/DDPG/MADDPG/BicNet on StarCraft II multi-agent learning environment SMAC
czp199468/Resource-Allocation-using-deeprl
Deep Reinforcement Learning Based Dynamic Resource Allocation in 5G Ultra-Dense Networks
czp199468/Paper_With_Code_Traditional_solution
czp199468/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
czp199468/tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
czp199468/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
czp199468/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
czp199468/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, vol. 37, no. 10, pp. 2282-2292, Oct. 2019.