gaosz0755's repositories
Deep-Reinforcement-Learning-with-Python
Deep Reinforcement Learning with Python, Second Edition, published by Packt
ElegantBook
Elegant LaTeX Template for Books
A-MDVRP
Asymmetric multi-depot vehicle routing problems: valid inequalities and a branch-and-cut algorithm
awesome-tikz
A curated list of awesome TikZ documentations, libraries and resources
Best-websites-a-programmer-should-visit
:link: Some useful websites for programmers.
distributedRL_MAPF
Distributed RL/IL code for Multi-Agent Path Finding (MAPF)
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
GNNbook_related
《图神经网络：基础与前沿》相关资料
GNNPapers
Must-read papers on graph neural networks (GNN)
Hetero-LA-MAPF
Solve Multi-agent Path Finding problem for heterogeneous robots.
kuka-reach-drl
Train kuka robot reach a point with deep rl.
l2rpn-baselines
L2RPN Baselines a repository to host baselines for l2rpn competitions.
LagrangianRelaxationQIP
Lagrangian Relaxation approach solve QIP
LaneGCN
[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting
libMultiRobotPlanning
Library with search algorithms for task and path planning for multi robot/agent systems
lifelong-incremental-RL
Code for "LifeLong Incremental Reinforcement Learning (LLIRL)"
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
modeling-examples
Gurobi modeling examples
multicopter-vibration-attenuation
A solution for multicopter vibration measurement, vibration isolator design and digital filter design
pgfmanual-zh
PGF/TikZ 中文手册
PRIMAL2
Training code PRIMAL2 - Public Repo
pytorch-value-iteration-networks
Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)
reinforcement-learning
Personal experiments on Reinforcement Learning
TSP-Q-Learning-
Simple tabular Q learning to solve the travelling salesman problem.
vae
a simple vae and cvae from keras