Deep learning (DL) approaches based on CNN-purely or Transformer network...
Traffic signal control has the potential to reduce congestion in dynamic...
One of the most critical challenges in deep reinforcement learning is to...
In this paper, we investigate the problem of the inverse reinforcement
l...
In this work, we develop practical user scheduling algorithms for downli...