DeepCQ+: Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for Highly Dynamic Networks

no code implementations • 29 Nov 2021 • Saeed Kaviani, Bo Ryu, Ejaz Ahmed, Kevin Larson, Anh Le, Alex Yahja, Jae H. Kim

To the best of our knowledge, this is the first successful application of the MADRL framework for the MANET routing problem that demonstrates a high degree of scalability and robustness even under environments that are outside the trained range of scenarios.

Q-Learning Reinforcement Learning (RL)