gaosz0755's repositories
Robio2017-MultiBots
The context Robio2017-MultiBots
AI-QMIX
Code for "AI-QMIX: Attention and Imagination for Dynamic Multi-Agent Reinforcement Learning"
competition-baseline
数据科学竞赛各种baseline代码、思路分享
coop-pathfinder
Cooperative path-finding algorithm simulator for solving bottle-necks in multi-agent systems
CVRPTW_geatpy
Solving the CVRPTW with geatpy2
distributedRL_MAPF
Distributed RL/IL code for Multi-Agent Path Finding (MAPF)
DRL_Path_Planning
This is a DRL(Deep Reinforcement Learning) platform built with Gazebo for the purpose of robot's adaptive path planning.
Evolutionary-Reinforcement-Learning
Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018
geatpy
Evolutionary algorithm toolbox and framework with high performance for Python
GOC-EVRPTW
JD 城市物流运输车辆智能调度
l2rpn-baselines
L2RPN Baselines a repository to host baselines for l2rpn competitions.
LagrangianRelaxationQIP
Lagrangian Relaxation approach solve QIP
libMultiRobotPlanning
Library with search algorithms for task and path planning for multi robot/agent systems
MAPF_iWHCA_WCBS
Multi-Agent Path Finding in C++ (WHCA*, iWHCA*, WCBS)
MAPF_learning_mater
Multi-Agent in formation Training Environment for Reinforcement learning
MARVIN
Uber's Multi-Agent Routing Value Iteration Network
MinMax-MTSP
A Reinforcement Learning Approach for Optimizing Multiple Traveling Salesman Problems over Graphs
MultiRobotPathFinding-ROS-Gazebo-Demo
Will appear soon.
neural-combinatorial-rl-pytorch
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
pgfmanual-zh
PGF/TikZ 中文手册
Python-Gurobi
NCKU 成功大學- Operations Research 作業研究(運籌學)
pytorch-trpo
PyTorch implementation of Trust Region Policy Optimization
pytorch-value-iteration-networks
Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)
SLAM_AND_PATH_PLANNING_ALGORITHMS
This repository contains the solutions to all the exercises for the MOOC about SLAM and PATH-PLANNING algorithms given by professor Claus Brenner at Leibniz University. This repository also contains my personal notes, most of them in PDF format, and many vector graphics created by myself to illustrate the theoretical concepts. Hope you enjoy it! :)
VRPTW-Python
实现高升论文《基于电动汽车的带时间窗的路径优化问题研究》中的算法
Warehouse_GA
Use the genetic algorithm to allocate the task to agents in the warehouse