Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems.
Yubin XiaoDi WangHuanhuan ChenBoyang LiWei PangXuan WuHao LiDong XuYanchun LiangYou ZhouPublished in: CoRR (2023)
Keyphrases
- autoregressive
- traveling salesman problem
- reinforcement learning
- moving average
- non stationary
- gaussian markov random field
- hamiltonian cycle
- combinatorial optimization
- ant colony optimization
- random fields
- distribution network
- combinatorial problems
- state space
- random field models
- optimization problems
- autoregressive moving average
- satisfy the triangle inequality
- markov decision processes
- machine learning
- sar images
- optimal policy
- objective function
- dynamic programming