phil610351 Goto Github PK

cup

dc-drl

ddlo

Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks

ddpg_mec

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

deep-reinforcement-learning-for-5g-networks

Code for my publication: Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. Paper accepted for publication to IEEE Transactions on Communications.

deep-reinforcement-learning-for-dynamic-spectrum-access

Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication

deepcomp

Dynamic multi-cell selection for cooperative multipoint (CoMP) using (multi-agent) deep reinforcement learning

deeprl_network

multi-agent deep reinforcement learning for networked system control.

deeprl_signal_control

multi-agent deep reinforcement learning for large-scale traffic signal control.

deeprm

Resource Management with Deep Reinforcement Learning (HotNets '16)

delay-aware-marl

Codes for Paper "Delay-Aware Multi-Agent Reinforcement Learning".

dgn

DGN Code

dhc

Distributed Heuristic Multi-Agent Path Finding with Communication - ICRA 2021

dicg

Deep Implicit Coordination Graphs

dicg-1

Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning

diral

Distributed Resource Allocation with Multi-Agent Deep Reinforcement Learning for 5G-V2V Communication

disconet

[NeurIPS2021] Learning Distilled Collaboration Graph for Multi-Agent Perception

distributed-maddpg

Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.

dlfortp

dmqto

Deep Meta Q-Learning based Task Offloading

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

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

draco

drl

Deep Reinforcement Learning for Offloading and Resource Allocation in Vehicle Edge Computing and Networks

drl-1

车联网环境

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-cdc

This is an instant noodle implementation of "Adaptive Task Offloading in Coded Edge Computing: A Deep Reinforcement Learning Approach"

drl-ec3

[JSAC 2018] Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach

drl-energy-management

Deep reinforcement learning based energy management strategy for hybrid electric vehicle

drl-for-energy-systems-optimal-scheduling

The source code for Performance comparision of Deep RL algorithms for Energy Systems Optimal Scheduling