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

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

autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.

channel-allocation

cooperativevr

A cooperative vehicle routing platform to optimize transportation costs between two independent shippers

coopernaut

Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles

cotv

Cooperative control for traffic light signals and connected autonomous vehicles using deep reinforcement learning

dlma

The is a research project I am working on :)

dltemplate

Boilerplate for Deep Learning Projects

drl-traffic-lights-control

Deep Reinforcement Learning for Traffic Lights Control using SUMO

estimationmodels

explainable-drl-traffic-lights

flow

Computational framework for reinforcement learning in traffic control

game-theoretic-deep-reinforcement-learning

Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.

hands-on-rl

https://hrl.boyuai.com/

intelligent-intersection

The SUMO simulation platform is used to realize the traditional traffic lights, intelligent traffic lights and intelligent traffic intersections.

marlspectrumsharingv2x

Spectrum sharing in vehicular networks based on multi-agent reinforcement learning, IEEE Journal on Selected Areas in Communications

masterclass-drl-serpentine

minor-project1-vanet

Simulating communication in a VANET (Vehicular Ad-Hoc Networks), and implementing access control, using concepts from blockchains, maintaining privacy of connected vehicles too.

neorl

This is a mirror of https://agit.ai/Polixir/NeoRL.git

omnet

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

pynetpp

Python package to interact with OMNeT++ Simulation API

reactive_traffic_lights

Emergency Vehicle Smart Grid to provide faster movement to emergency vehicles.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-in-traffic-control-for-connected-automated-vehicles

This project aims to distribute take-over-requests (ToR) for automated connected vehicles using reinforcement learning. It used single and multi agent approaches.

resco

Reinforcement Learning Benchmarks for Traffic Signal Control (RESCO)

rlbased_traffic_reporting_vehicular_networks

Traffic data reporting mechanism based on Reinforcement Learning for reducing overhead in vehicular networks

rlcode

rlinwifi

Code for "Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning" article published at WCNC 2021.

rltrainingenv

A Reinforcement Learning space to test a variety of algorithms with a variety of environments, both with single and multiple agents.