hri-datamodel

ROS2-Path-Planning-and-Maze-Solving

Developing a maze solving robot in ROS2 that leverages information from a drone or Satellite's camera using OpenCV algorithms to find its path to the goal and solve the maze. :)

local_rgb_map

v4

Fourth iteration of my personal website built with Gatsby

FLY_US

美国大学备考资料 How to apply US colleges

getting-a-gig

Guide for getting a gig as a tech student.

Vehicles-Dispatch-Simulator

Context-Aware Taxi Dispatching at City-Scale Using Deep Reinforcement Learning

Supply-demand-forecasting

supply demmand gap prediction for ride-hailing

HighwayEnv

A minimalist environment for decision-making in autonomous driving

MARL_CAVs

MARL for Autonomous Vehicles

waymo-open-dataset

Waymo Open Dataset

rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

HUST-PhD-Thesis-Latex

华中科技大学博士毕业论文Latex模板

tianshou

An elegant PyTorch deep reinforcement learning library.

PVE-MCC_for_unsignalized_intersection

Aiming at the problem of the traffic efficiency of intelligent networked vehicles passing through unsignalized-intersection in the future smart cities, this project proposed a Progressive Value-expectation Estimation Multi-agent Cooperative Control (PVE-MCC) algorithm based on reinforcement learning. The algorithm takes the intelligent networked vehicles as the research object and designed the reward function for the optimization objective from the three aspects of traffic efficiency, safety, and comfort.

CityFlow

A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

gym_vehicle_intersection

An AI Gym Environment: A Vehicle Intersection

metadrive

MetaDrive: Open-source driving simulator

install

📥 Homebrew (un)installer

sumo

Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.

Expert-Prior-RL

[TNNLS] Imitative Expert Prior-Guided Reinforcement Learning for Autonomous Driving

SLM-Lab

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

ewok

Ewok: Real-Time Trajectory Replanning for MAVs using Uniform B-splines and 3D Circular Buffer

Autonomous-Intersection-Management

Autonomous intersection management system implemented by Virtual Platooning algorithm

Autonomous_Intersection_Management

第五章 无信号灯路口多车协同轨迹规划方法

pyMetaheuristic

pyMetaheuristic: A Comprehensive Python Library for Optimization

FJSSP-with-worker-Flexibility

Flexible job shop scheduling with worker flexibility using discrete Jaya Algorithm

CCDE

Cooperative Coevolution Differential Evolution

Incremental-Optimization

Official implementation of Solving Incremental Optimization Problems via Cooperative Coevolution

posts

Pieces of code that have appeared on my blog with a focus on stochastic simulations.