phil610351 Goto Github PK

stfgnn

Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)

stgcn_ijcai-18

Spatio-Temporal Graph Convolutional Networks

task-allocation-auctions

Dynamic decentralized task allocation algorithms for multi-agent systems using auctions and machine learning

task-offloading

MATLAB code for the simulation of our paper entitled "Energy-Efficient Task Offloading Under E2E Latency Constraints"

task-offloading-and-resource-allocation-for-multi-server-mobile-edge-computing-networks

task-offloading-edge-computing

Simulation code for multi-user offloading in edge computing newtorks

taxisimulatorongraph

This is the official implementation of "Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network" (ITSC 2021)

temporal-attention-based-marl

tetc-dqn-dqn-nn

Reinforcement learning-based mobile edge computing and transmission scheduling for video surveillance

thesis

tianshou

An elegant, flexible, and superfast PyTorch deep reinforcement learning platform.

tlrl

Paper List of reinforcement learning with transfer ability

tmc

Pytorch implementation of "Succinct and Robust Multi-Agent Communication With Temporal Message Control"

torchgrl

TorchGRL is the source code for our paper Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments for IV 2022.

tpog_simulation

trajectron

Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.

transfer-and-multi-task-reinforcement-learning

Transfer

transitgym.github.io

Transit control with RL

tvt2022

Oracle-Guided Deep Reinforcement Learning for Large-Scale Multi-UAVs Flocking and Navigation

uara

J. Liu, X. Tao and J. Lu, "Mobility-Aware Centralized Reinforcement Learning for Dynamic Resource Allocation in HetNets," accepted by IEEE GLOBECOM 2019.

uara-drl

This repository contains the implementation codes of deep reinforcement learning (DRL) in user association and resource allocation in heterogenous networks. The model is basd on deep-Q-network (DQN) and DDQN.

uav-a3c

using actor-critic method to dealing with the path-planning UAV problem

uav-ddpg

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

uav-navigation-learning

uav-ris-drl

3D-Trajectory and Phase-Shift Design for RIS-Assisted UAV Systems Using Deep Reinforcement Learning

uav_bs_ctrl

Code implementation of "Cooperative Trajectory Design of Multiple UAV Base Stations with Heterogeneous Graph Neural Networks".

uav_ddpg

Trajectory Optimization and Computing Offloading Strategy in UAV-Assisted MEC System

uav_rl_maximize_throughput

UAV-based MEC to maximize user throughput via reinforcement learning

ucb_marl

The simulation codes of a provably efficient multi-agent reinforcement learning algorithm with a near-optimal regret bound in industrail data collection.

ucmec-mmwave-fronthaul

Simulation code of our paper ''Towards Decentralized Task Offloading and Resource Allocation in User-Centric Mobile Edge Computing''