buaaguotong Goto Github PK

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aircraft-conflict-resolution-benchmark

aircraft-landing-schedule

Gurobi based scheduling models for aircraft landings in static and dynamic case

airspace-forecasting-pytorch

toy project lol

algorithms_mathmodels

【国赛】【美赛】数学建模相关算法 MATLAB实现（2018年初整理）

astgcn-r-pytorch

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

atc-reinforcement-learning

Reinforcement learning for an air traffic control task. OpenAI gym based simulation.

atfm-benchmark

clgridworld

Configurable Curriculum Learning Domain for Reinforcement Learning Agents. As specified by [Narvekar, Sanmit, Jivko Sinapov, and Peter Stone. "Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning." IJCAI. 2017.]

cooperative-pursuit-papers

deap

Distributed Evolutionary Algorithms in Python

deepclustering

Methods and Implements of Deep Clustering

distributedevolutionarycomputation

A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered.

dqn_lidar

drl

Deep Reinforcement Learning

drlpytorch

Pytorch for Deep Reinforcement Learning

elsa-abm

Agent-Based of the ELSA project for Air Traffic Management

evolutionary-computation-navigation

🎮OmegaXYZ.com演化计算文章目录（实时更新）

ga-mdvrp

Genetic algorithm for Multi-Depot Vehicle Routing Problem optimization

glyph

a python 3 library based on deap providing abstraction layers for symbolic regression problems.

gpt_academic

为ChatGPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，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，支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古, newbing, claude等

graph-reinforcement-learning-papers

A curated list of graph reinforcement learning papers.

intelligentuavpathplanningsimulationsystem-drone

Intelligent UAV path planning simulation system is a software with fine operation control, strong platform integration, omnidirectional model building and application automation. It takes the UAV war between A and B in Zone C as the background. The core function of the system is to plan the UAV route through the simulation platform and verify the output. The data can be imported into the real UAV to make it accurately arrive at any position in the battlefield according to the specified route and support the joint action of multi-person and multi-device formation.

latex-template-cn

\LaTeX 中文模版收集。

maca

machine-learning

This repository is set for some classic machine learning algorithm.

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

magent

A Platform for Many-agent Reinforcement Learning

marl-patrolling-agents

Project on multi agent reinforcement learning applied on patrolling agents

medium-tsp

Appendix repository for Medium article "Routing Traveling Salesmen on Random Graphs using Reinforcement Learning, in PyTorch"