Illustrated Examples from Sutton and Barto

Python Implementation of Reinforcement Learning: An Introduction

Effcient Ridesharing Dispatch Using Multi-Agent Reinforcement Learning

V部落，Vue+SpringBoot实现的多用户博客管理平台!

Network EXplorer for Traffic Analysis (NeXTA) Graphical User Interface for General Modeling Network Specification (GMNS)

Simple A3C implementation with pytorch + multiprocessing

adaptive large neighborhood search for tsp

Attention based model for learning to solve different routing problems

Learning to Perform Local Rewriting for Combinatorial Optimization

A distribution system planning model using 'Modern Benders Decomposition'

Data-driven Adaptive Benders Decomposition for the Stochastic Unit Commitment Problem: Python codes & Case study data

Solomon benchmark instances

notes of machine learning algorithm derivation

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

reinforcement learning

Reinforcement Learning for Solving the Vehicle Routing Problem

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

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

pytorch neural combinatorial optimization

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

天池菜鸟-需求预测与分仓规划第二赛季代码

SHALE: An Efficient Algorithm for Allocation of Guaranteed Display Advertising Guaranteed Display Advertising