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researcher

Shaochen Han

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedGeneralization in Deep RL for TSP Problems via Equivariance and Local Search

6 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2021★ 6 cited

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

Wenbin Ouyang, Yisen Wang, Paul Weng +1

Deep reinforcement learning (RL) has proved to be a competitive heuristic for solving small-sized instances of traveling salesman problems (TSP), but its performance on larger-size…

cs.LG2021

Improving Generalization of Deep Reinforcement Learning-based TSP Solvers

Wenbin Ouyang, Yisen Wang, Shaochen Han +2

Recent work applying deep reinforcement learning (DRL) to solve traveling salesman problems (TSP) has shown that DRL-based solvers can be fast and competitive with TSP heuristics f…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.