Electric vehicle routing problem with time windows and mixed backhauls (obsolete)

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"

Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)

This project developed a light-duty CAV lane-changing (LC) model with four components: car following (CF), mandatory and incentive-based LC decision-making, LC path generation and following, and LC…

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Pytorch 中文文档

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

A Deep Learning AI for 2048 (2048:94.15%, 4096:78.48%, 8192: 34.5% 16384: 0.177%)

Deep Reinforcement Learning

Modules for describing software environment on biocluster

🐍 The Python API to consume openrouteservice(s) painlessly!

AWS Last Mile Route Sequence Optimization

A collection of comprehensive notes on Deep Reinforcement Learning, customized for UC Berkeley's CS 285 (prev. CS 294-112)

Computational framework for reinforcement learning in traffic control

Python Implementation of Reinforcement Learning: An Introduction

深度学习经典、新论文逐段精读

This is a repository for ALNS. Adaptive Large Neighborhood Search Heuristic for the Pickup and Delivery Problem with Time Windows.

Vehicle Routing Open-source Optimization Machine

This is Andrew NG Coursera Handwritten Notes.

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Reinforcement Learning for Solving the Vehicle Routing Problem