Shu-Lin Song

TMG-MADRL: a transformer-based meta-graph multi-agent deep reinforcement learning framework for robot path planning in dynamic environments

A novel Transformer-guided Meta-learning and Graph-enhanced Multi-Agent Deep Reinforcement Learning (TMG-MADRL) framework for intelligent robot navigation to achieve robust path optimization, adaptive decision-making, and proactive collision avoidance in dynamic scenarios.