phil610351 Goto Github PK

paper-code-for-machine-learning-based-wireless-communication-optimization-problems

A collection for Paper/code for Wireless Communication Optimization Problems with PyTorch based DL

paper-with-code-of-wireless-communication-based-on-dl

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

paper_writing_tips

partial-computation-offloading-for-mec

基于深度强化学习的部分计算任务卸载延迟优化

pec

, we model the edge caching problem in MSN network as a reinforcement learning problemwith Asynchronous Actor-Critic Agent (A3C) algorithm, where UE requires contents by redundant requestsfollowing an optimal strategy to maximize users’ rewards.

peerj-computer-science

perfectdou

[NeurIPS 2022] PerfectDou: Dominating DouDizhu with Perfect Information Distillation

pgmorl

[ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control

pic

PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning

pnc-hdqn

codes for paper 《Neighborhood Cooperative Multiagent Reinforcement Learning for Adaptive Traffic Signal Control in Epidemic Regions》

ptf_code

Source code for paper: Efficient deep reinforcement learning via adaptive policy transfer

pytorch_learning

书籍：深度学习框架pytorch入门与实践

reinforcement-learning-algorithms

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

reinforcement-learning-for-real-time-pricing-and-scheduling-control-in-ev-charging-stations

Reinforcement Learning for Real time Pricing and Scheduling Control in EV Charging Stations

reinforcement-learning-tutorials

basic algorithms of reinforcement learning

resco

Reinforcement Learning Benchmarks for Traffic Signal Control (RESCO)

resource-allocation-in-cloudlets

resourceallocation

resourceallocationv2xgraph

Graph-based resource sharing in vehicular communication, IEEE Transactions on Wireless Communications

resources-allocation-in-the-edge-computing-environment-using-reinforcement-learning

Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

resources-allocation-in-the-edge-computing-environment-using-reinforcement-learning-1

Graph reinforcement learning based task offloading for MEC

risk_aware_mec_offloading

Code for Data Offloading in UAV-assisted Multi-access Edge Computing Systems: A Resource-based Pricing and User Risk-awareness Approach paper https://www.mdpi.com/1424-8220/20/8/2434/pdf

rl

rl-for-binary-computation-offloading-in-wireless-powered-mec-networks

It's a implementation about the paper Liang Huang, Suzhi Bi, and Ying-jun Angela Zhang, "Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks", on https://ieeexplore.ieee.org/document/8771176

rl-for-transportation

Paper list of Reinforcement Learning (RL) applied on transportation

rl-gan-net

Official Repository of CVPR 2019 Paper : RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion

rl-reinforce

强化学习-Reinforce 调研与实现

rl-ridesharing

Effcient Ridesharing Dispatch Using Multi-Agent Reinforcement Learning

rltaskoffloading

rltaskoffloading-1