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a-deep-rl-approach-for-sdn-routing-optimization

A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

ai_course

arxiv2latex

Download the source latex code of multiple arXiv paper with one click

by-aflddpg

cache-allocation-project

The purpose of this project is to implement machine learning methods to study resource allocation problems, that is how to share limited resources out among several agents.

chatgpt

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

civil-service-exam

公务员考试知识思维导图，我们岸上见！

civil-service-exam-1

考试攻略 | 公务员 | 事业单位

computation-offloading-based-on-dqn

Joint strategy design on edge computing offloading based on deep reinforcement learning

cs-unit6-graphs

What are Graphs? A graph is a great general-purpose data structure that can be used to solve a wide variety of computing problems. It is the general case of the trees with which you are already familiar, where edges can connect one vertex to any other, not just downward. We will explore how to implement graphs, and several of the algorithms surroun

cvpr2023-paper-code-interpretation

cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

dag-scheduling

dag_generator

Random Directed Acyclic Graph Generator

ddlo

Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks

ddpg

Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow

ddpg-1

Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function, reward discounting, works on discrete & continuous action spaces

ddpg_tensorflow

DDPG, Tensorflow1, Tensorflow2

deep-q-learning-for-mobile-edge-computing

deep-reinforcement-learning-based-resource-provisioning-and-task-scheduling-for-cloud-service-provid

Project: Deep Reinforcement Learning Based Resource Provisioning and Task Scheduling for Cloud Service Providers

deep-workflow

Workflow scheduler with neural networks and RL

deeprm_reforement_learning

基于深度强化学习的资源调度研究

determining-an-order-of-courses

Problem Introduction Now, when you are sure that there are no cyclic dependencies in the given CS curriculum, you would like to find an order of all courses that is consistent with all dependencies. For this, you find a topological ordering of the corresponding directed graph. Problem Description Task. Compute a topological ordering of a given dire

developer2gwy

公务员从入门到上岸，最佳程序员公考实践教程

dlsf

[TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments

double-deep-q-learning-for-resource-allocation

Reproduce results of the research article "Deep Reinforcement Learning Based Resource Allocation for V2V Communications"

drl-based-long-term-resource-planning

Paper publised in TNSM entitled "DRL-Based Long-Term Resource Planning for Task Offloading Policies in Multi-Server Edge Computing Networks"

drl-mec

Dynamic Task Software Caching-Assisted Computation Offloading for Multi-Access Edge Computing

drl-tensorflow

My DRL library with tensorflow1.14 based on openai spinning-up

drl_scheduling_communications

Contains the code related to our paper on scheduling and resource allocation in wireless communications.

drone-combat-with-ddpg

应用DDPG实现无人机追击任务