IIT-Lab/Self-adaptation_via_RL

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Created about 6 years ago
Updated almost 4 years ago

IIT-Lab/Self-adaptation_via_RL

IIT-Lab

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This is a simulation of adding an autonomous agent to the network. The agent uses Q-learning to self-adapt itself.

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

GraduationProject

基于深度强化学习的MEC计算卸载与资源分配

github_repository_collection

将自己点星的一些仓库进行整理

Optimal_Resource_Allocation_using_Reinforcement_Learning

Decision making using Reinforcement Learning

CNN-based-on-Complex-Number

基于复数的卷积神经网络：实现了复数卷积、复数池化、复数激活函数、复数全连接、复数Dropout等

Learning-Based-Power-Control-for-mmWave-Massive-MIMO-against-Jamming

论文中包含的论文原文以及原文所涉及的简化版代码。

mmWave_Comm_Simulator

AdaptiveMIMO

Adaptive MIMO equalizer for Tx impairments

Paper_With_Code_Traditional_solution

MIMO_Detection

cellsyshandover

Simulation of a Cellular System With Handovers and Ping-Pong Rate Computation

graphColoring

LTEV2V

Decoder-using-deep-learning

Academic project for constructing the decoder for communication using Deep learning networks - CNN architecture and ResNet Inception model architecture.

Jupyter Notebook

MBPANet