Stars
A Wireless Sensor Network simulator in Python and C++ (via SWIG).
A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization
Using Py-Torch DDPG to do some Routing Tests
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
Reinforcement Learning based routing protocol implementation for wireless ad hoc networks.
Modular Multi-Objective Reinforcement Learning with Decision Values
Multi-Objective Deep Reinforcement Learning
Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning
Multi-Objective Reinforcement Learning algorithms implementations.
Reinforcement Learning for Solving the Vehicle Routing Problem
Finding the optimal path between nodes in given network modeled as graph.
Final Project for CS4710: Implementation of a Multi-Objective Q-learning algorithm
Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).
A Universal Deep Reinforcement Learning Framework
Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper
A PyTorch Library for Multi-Task Learning
Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.
Multi-objective reinforcement learning deals with finding policies for tasks where there are multiple distinct criteria to optimize for. Since there may be trade-offs between the criteria, there do…
The algorithm shows how the sensed data from the sensor nodes is being routed to the sink efficiently.The energy of the sensor nodes is very less and the cost of transmitting data of 1Kb from the s…
A brief comparison of the two energy effecient protocols in Wireless Sensor Networks (WSN) namely LEACH and EAMMH
Performance analysis of AODV, DSDV and OLSR Routing Protocols using NS3 Simulator
Comparison of different types of MANET Routing Protocols using NS3 Simulator.
All of the programs written (and edited from examples) for implementation of various Mobile Ad-Hoc Networks in Network Simulator-3 for class projects.
DRL-M4MR: An intelligent multicast routing approach based on DQN deep reinforcement learning in SDN