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Shang-Bo Wang

4 papers hereh-index 10344 citations34 works total

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 4 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.GT1
  • cs.IT1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedA Novel Multi-Agent Deep RL Approach for Traffic Signal Control

1 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing cs.GTShow all

1 paper · 1 filter

cs.GT2023

Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach

Yuli. Zhang, Shangbo. Wang, Ruiyuan. Jiang

Reinforcement Learning (RL) is currently one of the most commonly used techniques for traffic signal control (TSC), which can adaptively adjusted traffic signal phase and duration…

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