An open source Multi-Agent Deep Reinforcement Learning Routing Simulator for satellite networks.
Federico Lozano-CuadraMathias D. ThorsagerIsrael Leyva-MayorgaBeatriz SoretPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- multi agent
- open source
- network topologies
- wireless ad hoc networks
- network topology
- social networks
- function approximation
- state space
- network structure
- traffic engineering
- simulation model
- remote sensing
- source code
- open source software
- multi agent systems
- cooperative
- network nodes
- machine learning
- real robot
- model free
- interconnection networks
- traffic signal control
- routing protocol
- learning algorithm
- ad hoc networks
- network design
- cellular networks
- computer networks
- markov decision processes
- core components
- optimal policy
- case study
- multi agent reinforcement learning
- packet forwarding
- neural network