RLOR: A Flexible Framework of Deep Reinforcement Learning for Operation Research

1 code implementation • 23 Mar 2023 • Ching Pui Wan, Tung Li, Jason Min Wang

In this work, we analyze the end-to-end autoregressive models for vehicle routing problems and show that these models can benefit from the recent advances in reinforcement learning with a careful re-implementation of the model architecture.

Combinatorial Optimization reinforcement-learning