Mikio Hasegawa

GA-assisted Multi-Agent Reinforcement Learning for UAV Relay Network Deployment Optimization

In post-disaster communication scenarios, the three-dimensional (3D) optimal deployment of unmanned aerial vehicles (UAVs) acting as relay nodes becomes intractable in large scale environments. Multi-agent reinforcement learning (MARL) often fails to converge, resulting in challenges such as erratic flight paths and un...