czp199468'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
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.
DeepRL
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
DOP
Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (https://arxiv.org/abs/2007.12322)
DQN_MADDPG_practice
RL projects including implementation of DQN/DDPG/MADDPG/BicNet on StarCraft II multi-agent learning environment SMAC
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? "
FLDRL-in-Wireless-Communication
Apply Deep Reinforcement Learning aided by Federated Learning to Wireless Comunication
flsim
A simulation framework for Federated Learning written in PyTorch
introRL
Intro to Reinforcement Learning (强化学习纲要）
leaf
Leaf: A Benchmark for Federated Settings
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/
MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
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.
mfrl
Mean Field Multi-Agent Reinforcement Learning
MINLP
关于MINLP问题的一些资料（Resources of MINLP problem）
Multi-Agent-Reinforcement-Learning-papers
Multi-Agent Reinforcement Learning (MARL) papers
nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
PARL
A high-performance distributed training framework for Reinforcement Learning
pymarl
Python Multi-Agent Reinforcement Learning framework
Resource-Allocation-using-deeprl
Deep Reinforcement Learning Based Dynamic Resource Allocation in 5G Ultra-Dense Networks
RLexample
Some basic examples of playing with RL
stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
tf-fed-demo
A federated learning demo for AlexNet on CIFAR-10 dataset, basing on Tensorflow.