Understanding Decision-Making Mechanisms in Neural Routing Solvers
Three representative autoregressive NCO models spanning two encoder-decoder configurations are investigated, suggesting that AM and POMO predominantly follow a persistent geometric pattern throughout solution construction, whereas LEHD contains linearly accessible information about multiple future actions.
Fatemeh Askari, Mazdak Teymourian, Mohammad Izadi et al.
· 0 citations