Search Results for author: Shaochen Han

Found 2 papers, 0 papers with code

Generalization in Deep RL for TSP Problems via Equivariance and Local Search

no code implementations7 Oct 2021 Wenbin Ouyang, Yisen Wang, Paul Weng, Shaochen Han

Since training on large instances is impractical, we design a novel deep RL approach with a focus on generalizability.

reinforcement-learning Reinforcement Learning (RL)

Improving Generalization of Deep Reinforcement Learning-based TSP Solvers

no code implementations6 Oct 2021 Wenbin Ouyang, Yisen Wang, Shaochen Han, Zhejian Jin, Paul Weng

In this work, we propose a novel approach named MAGIC that includes a deep learning architecture and a DRL training method.

reinforcement-learning Reinforcement Learning (RL)

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