Adversarial attacks on Deep Reinforcement Learning (RL)

implementation of MADDPG using PettingZoo and PyTorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Journal on Communications

Codes and template data for paper "Experiments with mmWave Automotive Radar Test-bed"

In this illustration, we implement a TDMA-MIMO-based millimeter-wave radar raw data generation and signal processing stack that can support millimeter-wave radar platforms with different physical a…

Signal Processing Chain for Distributed MIMO Radar

Passive radar signal processing library for python

UESTC-雷达信号产生与处理的设计与验证

radarGUI是一个雷达数据处理软件，它使用QT开发，主要包括界面显示、参数下发及数据接收、目标跟踪等部分

Radar Simulator built with Python and C++

usrp stream program, single channel dsp with CUDA, single channel dsp without CUDA (for comparison)

Codebase for the paper "How Crucial is Transformer in Decision Transformer?". Containing experiments on different pendulum tasks and code for Decision LSTM architecture. Extension of the original D…

PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Intro to Reinforcement Learning (强化学习纲要）

A Collection of Variational Autoencoders (VAE) in PyTorch.

Communication system in Matlab ☎️

It has multiply codes that model different communucations systems, like DSB-SC, BPSK, QPSK (single carrier, with and without correcting code and using noisy Rayleigh fading channel), 16-QAM (single…

Must-read papers on graph neural networks (GNN)

Massively Parallel Deep Reinforcement Learning. 🔥

Python Implementations of Monte Carlo Tree Search

AVDC 2021 - GNC of a SWARM of UAVs in a numerical simulation by Alex Martinez and Tom Antoine

Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x