Exploring algorithms in the domain of offline reinforcement learning (REM, Ensemble-DQN, DQN, ...)
☆17Jul 7, 2020Updated 5 years ago
Alternatives and similar repositories for offline-reinforcement-learning
Users that are interested in offline-reinforcement-learning are comparing it to the libraries listed below
Sorting:
- Thesis in Federated Learning using an Edge/Cloud Computing architecture☆10Feb 26, 2021Updated 5 years ago
- A systematic design process for a self-organizing neuro-fuzzy Q-network for model-free and offline reinforcement learning.☆11May 29, 2023Updated 2 years ago
- Distributed Uplink Beamforming in Cell-Free Networks Using Deep Reinforcement Learning☆10Mar 20, 2021Updated 4 years ago
- This repository contains a Reinforcement learning algorithm for task scheduling in edge-cloud computing.☆13Feb 10, 2024Updated 2 years ago
- An implementation of main reinforcement learning algorithms: solo-agent and ensembled versions.☆13Feb 7, 2019Updated 7 years ago
- Simulator for evaluating cloud/edge requests from connected vehicles and computing statistical analysis of the input network☆11May 7, 2018Updated 7 years ago
- RL and MARL from Mobile Edge Computing Load Optimization☆11Jun 28, 2023Updated 2 years ago
- A Monte-Carlo simulator for Mobile Edge/Cloud Computing☆12Aug 22, 2023Updated 2 years ago
- ☆13Jun 17, 2022Updated 3 years ago
- Research project on Resource-elastic tasks for edge cloud computing☆12Aug 12, 2021Updated 4 years ago
- The folder contains NS-3 simulations for Mobility Robustness Optimization in Small Cell Networks☆11Dec 15, 2020Updated 5 years ago
- This code simulate effect of using edge computing for NFV.☆12Jan 16, 2020Updated 6 years ago
- Deep Reinforcement Learning for Dynamic Multicahnnel Access in Wireless Networks☆14Oct 1, 2017Updated 8 years ago
- Using Reinforcement Learning method to realize load balancing control in dynamic cellular network☆15Sep 22, 2018Updated 7 years ago
- Genetic algorithms for the placement of services in Fog domains☆14Apr 4, 2022Updated 3 years ago
- simulation of "A novel reinforcement learning algorithm for virtual network emb e dding" paper☆18Jan 16, 2020Updated 6 years ago
- ☆15Dec 10, 2019Updated 6 years ago
- Latency optimized and energy efficient task offloading in MEC system using Deep Q-Network algorithm.☆17Jun 2, 2024Updated last year
- ☆40May 5, 2021Updated 4 years ago
- Mobile Edge Computing Server based on Deep Reinforcement Learning (One-on-one)☆14Mar 13, 2020Updated 5 years ago
- Mobile Edge Computing Hierarchical Model which has the mobile as the edge server and the cloud as the central server. The load balancing …☆15May 5, 2018Updated 7 years ago
- Three Agent-Based Simulation for Edge Computing in 5G and Beyond for the recent paper titled "Design and Simulation of a Hybrid Architect…☆20Oct 26, 2021Updated 4 years ago
- Task Scheduler based on Reinforcement Learning (RL) that allocates re-routing computation into the appropriate network element (edge nod…☆20Oct 23, 2021Updated 4 years ago
- awesome-edge-computing，边缘计算各种资料汇总，相关技术资料汇总☆22Nov 8, 2021Updated 4 years ago
- Understanding RL vision Distill article☆25Mar 3, 2023Updated 3 years ago
- ☆24Apr 12, 2022Updated 3 years ago
- Contains Implementation of Paper " S Wang, H Liu, P H Gomes, and B Krishnamachari ; Deep Reinforcement Learning for Dynamic Multichannel …☆58May 12, 2019Updated 6 years ago
- Network simulator for edge computing and cloud computing☆22Sep 26, 2017Updated 8 years ago
- DecentralizedLearning☆25Dec 8, 2022Updated 3 years ago
- A repository for a Deep Q-Learning approach to intrusion detection for networks cyber-attacks.☆10Sep 3, 2021Updated 4 years ago
- Verilog code for a low power RFID chip that will communicate with I2C sensors.☆13Apr 18, 2014Updated 11 years ago
- A curated list of research in System for Edge Intelligence and Computing(Edge MLSys), including Frameworks, Tools, Repository, etc. Paper…☆33Jan 4, 2022Updated 4 years ago
- 基于GSConv+SlimNeck的YOLOv5的消防通道占用检测系统☆10Nov 24, 2023Updated 2 years ago
- Physical Downlink Shared Channel (PDSCH) in 5G New Radio.☆12Jan 29, 2024Updated 2 years ago
- 本文提出了一种基于多视图卷积神经 网络的三维物体识别算法，以实现三维物体的准确识别。首先实现一个标准的卷积神经网络架构，该架构经过训练可以独立地识别形状的渲染视图，以实现即使从单一视图中也可以识别出一个三维形状。随后使用该三维物体多个角度的二维视图通过卷积神经网络识别的结果进…☆11May 16, 2022Updated 3 years ago
- FogBus2: A Lightweight and Distributed Container-based Framework for Integration of IoT-enabled Systems with Edge and Cloud Computing☆31Aug 4, 2025Updated 7 months ago
- This is an instant noodle implementation of "Adaptive Task Offloading in Coded Edge Computing: A Deep Reinforcement Learning Approach"☆27Jul 2, 2022Updated 3 years ago
- Mobile Edge Computing Simulator developed for my master's☆29Aug 15, 2020Updated 5 years ago
- This repository presents a multi-agent reinforcement learning approach for energy-efficient collaborative control of base stations in 5G …☆33Oct 22, 2024Updated last year