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acc_vehicle_mpc

Model Predictive Control of Adaptive Cruise Control Vehicles.

auto-driving-tsinghua

Bai Liu's bachelor thesis project, on optimizing control strategies of auto-driving vehicles at crossroads

awesome-autonomous-vehicles

Curated List of Self-Driving Cars and Autonomous Vehicles Resources

awesome-reinforcement-learning

Learning Resources And Links Of Reinforcement Learning （updating）

awesome-rlhf

A curated list of reinforcement learning with human feedback resources (continually updated)

car_intersection

compatible with OpenAI gym environment which model car movements in road intersection.

clap

Cloud-and-Learning compatible Automated vehicle Platform (Mirrored from Gitlab, please post issues to the Gitlab link)

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC)

coop_sim_framework

This repository has additional materials to the paper entitled "Safe Optimization of Highway Traffic with Robust Model Predictive Control-based Cooperative Adaptive Cruise Control"

dmpc_for_platoons

dmpc_intersection

intelligent and networked control for multi vehicles on intersection

drl

Deep Reinforcement Learning

dynamicpathfollowingrobot

This project explores making a wireless automatic guided robot which does not require any kind of intrusive modifications to be made to the environment, apart from installing an overhead camera. Generally environments that make use of automatic guided vehicles (AGVs) have to plan the path(s) where the robots should go before installing the tracks, like magnetic strips or metal tracks; this is an investment even before using the robots. If any change to the path(s) is required to be made, then more cost is incurred. In this paper a four wheeled differential drive robot has been controlled wirelessly to follow paths drawn on a graphical user interface within a workspace of 1.8m by 1.4m. The robot is controlled by correcting its orientation through visual feedback from a camera. Error analysis was performed to investigate how well the robot followed the path drawn. The estimated error of the robot is within a few centimeters of the path and can be reduced by modifying various thresholds.

figurebed

for markdown图床

flow

Computational framework for reinforcement learning in traffic control

gnnpapers

Must-read papers on graph neural networks (GNN)

graph_nets

Build Graph Nets in Tensorflow

hnu_doctoralthesis_latex

湖南大学研究生毕业论文Latex模版

hnuthesis_doctor

湖南大学博士毕业论文Latex模版

iquant

jeffrey28.github.io

light_mappo

Lightweight version of MAPPO to help you quickly migrate to your local environment.

llama-x

Open Academic Research on Improving LLaMA to SOTA LLM

machinelearning_xiguashu

The notes and codes for machine learning.

mbbl

model-based-marl

mpc-mobile-robot-path-following

Design and simulation model predictive control for path following with mobile robot.

mpctrackingpathfollowingecc13

net-mpc_collision-avoidance

MATLAB Simulation of Networked Model Predictive Control for Vehicle Collision Avoidance

path_planner

Hybrid A* Path Planner for the KTH Research Concept Vehicle