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Name: Diana Lee

Type: User

Bio: I plan to use GitHub for version control, collaborating with other developers, and showcasing my projects.

Diana Lee's Projects

--original--trajectory-optimization-based-on-bezier-polynomial-motion-planning-

基于贝赛尔曲线的轨迹优化：前段：Astar寻径后端：运动走廊膨胀＋Bezier

3d-astar-thetastar

Basic algorithms for height map based 3D path planning: BFS, Dijkstra, A*, Theta*

a-mdvrp

Asymmetric multi-depot vehicle routing problems: valid inequalities and a branch-and-cut algorithm

agv_dijkstra

仓储多AGV背景下，基于dijkstra算法，实现路径规划和两车避让

apachecn-dl-zh

ApacheCN 深度学习译文集

asaprl

RSS 2023: This repository contains code for the paper Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors.

astar-algorithm-cpp

Implementations of the A* algorithm in C++ and C#

astar-gridmap-2d

A* algorithms for 2D gridmaps. The fastest one, until you prove me wrong

astar-jps-algorithm

Implementation of A* and JPS algorithms in ROS

autonomous-driving-in-carla-using-deep-reinforcement-learning

Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

bezierjs

A nodejs and client-side library for (cubic) Bezier curve work

cadrl_ros

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

constraint_rl_mpc

Safe control of unknown dynamic systems with reinforcement learning and model predictive control

cpp_concurrency_in_action

:book: 作为对《C++ Concurrency in Action》英文版的中文翻译。

cs525_project

CS525/DS595 Course Project - Deep Reinforcement Learning for Decision Making in Autonomous Driving

deep-rl-autonomous-systems

Designing a control system to exploit model-free deep reinforcement learning algorithms to solve a real-world autonomous driving task of a small robot.

deep-rl-for-vision-based-autonomous-driving

Practical implementation of the literature review section for my masters paper entitled "Deep Reinforcement Learning for Autonomous Driving"

deeprl-tensorflow2

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

dijkstrashortestpath

Implementation of Dijkstra's algorithm in C++ which finds the shortest path from a start node to every other node in a weighted graph.

double-layer-decision-making-model

An Integrated Model for Autonomous Speed and Lane Change Decision-Making Based on Deep Reinforcement Learning

dqn-based-uav-3d_path_planer

Realization of UAV's Track Planning in 3D Urban Environment Based on Reinforcement Learning Algorithm(DQN)

drl-for-autonomous-driving

探索深度强化学习在自动驾驶决策规划中的使用

drl-urban-planning

A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)

drl_path_planning

This is a DRL(Deep Reinforcement Learning) platform built with Gazebo for the purpose of robot's adaptive path planning.

dstar-lite

A basic implementation of the D* lite algorithm

dstar-lite-pathplanner

Implementation of the D* lite algorithm in Python for "Improved Fast Replanning for Robot Navigation in Unknown Terrain"

dstarlite

Repository provides an implementation of D*Lite algorithm adapted for single-shot grid-based 2D environment.

ga-for-tsp

Genetic algorithm for Traveling salesman problem

heterogeneous-graph-rl

Official implementation of "Deep Reinforcement Learning for Autonomous Driving using High-Level Heterogeneous Graph Representations"

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