Pinned Repositories
abu
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
ACO---Dynamic-JSSP
Solve Dinamic Job Shop Scheduling Problem with Ant Colony Optimization
ACOFlowShop
ACO algorithms for the Flow-Shop Scheduling problem
Advanced-Planning-Using-RL
Implements the algorithm introduced in the paper "Advanced Planning for Autonomous Vehicles using Reinforcement Learning and Deep Inverse Reinforcement Learning" published in Robotics and Autonomous Systems, Vol. 114, pp. 1-18, 2019
avp-deepRL
adversarial vehicle planning with deep reinforcement learning
OnlinePrintingShopSchedulingProblem
Mixed Integer Linear Programming and Constraint Programming Models for the Online Printing Shop Scheduling Problem
Qix
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
ThinkComplexity2
Book and code for Think Complexity, 2nd edition
WFRL
Workflow scheduling use deep reinforcement learning
ilosea's Repositories
ilosea/WFRL
Workflow scheduling use deep reinforcement learning
ilosea/OnlinePrintingShopSchedulingProblem
Mixed Integer Linear Programming and Constraint Programming Models for the Online Printing Shop Scheduling Problem
ilosea/abu
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
ilosea/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
ilosea/Advanced-Planning-Using-RL
Implements the algorithm introduced in the paper "Advanced Planning for Autonomous Vehicles using Reinforcement Learning and Deep Inverse Reinforcement Learning" published in Robotics and Autonomous Systems, Vol. 114, pp. 1-18, 2019
ilosea/cjs-instances
Instances and Results for Complex Job-Shop Scheduling Problems
ilosea/constructive-heuristic-MC-VRPSD
Reproduction of Constructive Heuristics for the Multicompartment Vehicle Routing Problem with Stochastic Demands
ilosea/deep-learning-models
Keras code and weights files for popular deep learning models.
ilosea/Deep-Reinforcement-Learning-for-Solving-Job-Shop-Scheduling-Problems
DRL on JSSPs
ilosea/DeepRLVehicularLocalization
Decentralized Scheduling for Cooperative Localization with Deep Reinforcement Learning
ilosea/example-GA
An example of Genetic Algorithm
ilosea/fullstack-data-engineer
全栈数据工程师养成攻略
ilosea/Genetic-algo-schduling
An implementation of a genetic algorithm to find an approximate solution for the open shop scheduling problem
ilosea/Job_Shop_Scheduling
this repository is used to test alghoritms for job shop scheduling problem
ilosea/jssp-solver
Job Shop Scheduling Problem Solver
ilosea/kamyu104-LeetCode
ilosea/keras-blog
Blog with Keras news, tutorials, and demos.
ilosea/kubernetes
Production-Grade Container Scheduling and Management
ilosea/metaheuristic-algorithms-HFSP
Öztop H, Tasgetiren M F, Eliiyi D T, et al. Metaheuristic algorithms for the hybrid flowshop scheduling problem[J]. Computers & Operations Research, 2019, 111: 177-196.
ilosea/MKP
Heuristic Solver for the Multidimensional Knapsack Problem
ilosea/MyBooks
my books
ilosea/openalpr
Automatic License Plate Recognition library
ilosea/OpenShop-CPP
A C++ implementation of my new optimisation method for open-shop scheduling with arbitrary constraints
ilosea/OpenShopScheduling-1
A new optimisation method for open-shop scheduling with arbitrary constraints based on simulated annealing and genetic algorithms
ilosea/Optimal-Path-Planning-Deep-Reinforcement-Learning
Optimal Path Planning with Deep Reinforcement Learning
ilosea/Optimization-Methods
Using Heuristic Rules, Meta-Heuristic and Hyper-Heuristic approach to solve Job Shop Scheduling Problem.
ilosea/pytorch-drl4vrp
Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).
ilosea/RLSched
A Scheduler Based on Deep Reinforcement Learning
ilosea/state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
ilosea/UCL-DeepReinforcementLearning
一门由AlphaGo项目负责人David Sliver，在UCL(伦敦大学)主讲的强化学习经典课程