Romicy

axisfifo

Zynq SoC Linux kernel driver for Xilinx AXI-Stream FIFO IP

xilinx_axidma

A zero-copy Linux driver and a userspace interface library for Xilinx's AXI DMA and VDMA IP blocks. These serve as bridges for communication between the processing system and FPGA programmable logic fabric, through one of the DMA ports on the Zynq processing system. Distributed under the MIT License.

xilinx-zynq

xilinx-zynq is a the hardware platform for my embedded projects, which integrated a feature-rich dual ARM Cortex-A9 MPCore based processing system(PS) and Xilinx programmable logic (PL).

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

Mastering-Embedded-Linux-Programming-Third-Edition

Mastering Embedded Linux Programming Third Edition, published by Packt

flash-linux0.11-talk

你管这破玩意叫操作系统源码 — 像小说一样品读 Linux 0.11 核心代码

Meta-RL

Implementation of Meta-RL A3C algorithm

genesis_path_follower

MPC Path Follower for the Hyundai Genesis.

Vehicle_Controller_Design_Project

This project aims to design a LQR controller to control a car following a trajectory as accurate and fast as possible

fuzzy-controller

a fuzzy distance controller for a following vehicle in a bidirectional movement space. This is a simple test to demonstrate the mechanics of such a controller. The driving behaviour and the current distance are taken into account. Further components can be easily added. The output variable is the adjustment of the speed.

mater

Multi-Agent in formation Training Environment for Reinforcement learning

Multi-Robot-Formation-Control-using-Deep-Reinforcement-Learning

A leader-follower formation control using deep reinforcement learning environment, In which every agent can learn to follow the leader agent by keeping track of a certain distance to that leader, avoiding obstacles, and avoiding collision with the other agents.

pymarl

Python Multi-Agent Reinforcement Learning framework

Robot-Formation-Control

Formation control for a multi-agent system in a bidimensional space. Various types of formations available. Implementation in ROS2 Foxy.

Control-and-AI-Algorithms

Implementations of Control (PID, LQ, MPC, ...) and AI (fuzzy logic, Q-learner, SARSA, ...) algorithms

deeprl_signal_control

multi-agent deep reinforcement learning for large-scale traffic signal control.

phd-bibliography

References on Optimal Control, Reinforcement Learning and Motion Planning

flow

Computational framework for reinforcement learning in traffic control

PPO-PyTorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

pattern-formation

Pattern formation in multi agent systems

multi-agentDRL

solve pursuit-evasion problem with multi-agent deep reinforcement learning

Pursuit-Evasion-Reinforcement-Learning

Application of DDPG on Pursuit-Evasion Problem

scalableMARL

Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking.

IGP2

Official Repository for "Interpretable Goal-based Prediction and Planning for Autonomous Driving" (ICRA 2021)

Deep-Learning-based-Speed-Control-Model

This is a trained deep learning model, which uses reinforcement learning.

OptimalControl_MPC_DRL_training

Study control engineering (mainly optimal control and model predictive control) and reinforcement learning using toy problem.

Autonomous-Quadcopter-Control-RL

This project attempts to use Reinforcement Learning to train a model to perform simple maneuvers, plan navigation and avoid dynamic obstacles.

Robust-and-cooperative-formation-control-of-nonlinear-multi-agent-systems

Yang's PhD work

scalable-collision-avoidance-RL

Multi agent scalable reinforcement learning for formation control with collision avoidance

Multi-agent-Formation-Control-Using-Reinforcement-Learning