A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

Paper list of multi-agent reinforcement learning (MARL)

Repository to create an accessible network and plan routes given a set of user preferences.

One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

Unified Reinforcement Learning Framework

An easier PyTorch deep reinforcement learning library.

Research tools for the Adaptive Charging Network

Case studies to demonstrate the use of ACN-Sim.

DRL-based ESSs scheduling environments in distribution networks.

Monte Carlo simulation of electricity demand for electric vehicles in UK

Evolutionary algorithm toolbox and framework with high performance for Python

📚《统计学习方法-李航: 笔记-从原理到实现》 这是一份非常详细的学习笔记，200页PDF，各种手推公式细节讲解以及R语言实现. 🎉

Gaussian processes framework in python

Gaussian Process Optimization using GPy

A Python implementation of global optimization with gaussian processes.

Bayesian optimization for Python

RoBO: a Robust Bayesian Optimization framework

Integer programming models for the container relocation problem

This is a VSCode style (dark) cpp-color-scheme for clion

Blocks Relocation Problem

Modern implementation of the hybrid genetic search (HGS) algorithm specialized to the capacitated vehicle routing problem (CVRP). This code also includes an additional neighborhood called SWAP*.

A Genetic Algorithm Framework in Python (not for production level)

Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)

Attention based model for learning to solve different routing problems

"Attention, Learn to Solve Routing Problems!"[Kool+, 2019], Capacitated Vehicle Routing Problem solver

Pytorch 中文文档