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Joseph D. Mango

2 papers hereh-index 13827 citations37 works total

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

author position
  • middle author2

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 citedSimulating multi-exit evacuation using deep reinforcement learning

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

collaborators

2 papers

cs.LG2024

A Survey on Applications of Reinforcement Learning in Spatial Resource Allocation

Di Zhang, Moyang Wang, Joseph Mango +2

The challenge of spatial resource allocation is pervasive across various domains such as transportation, industry, and daily life. As the scale of real-world issues continues to ex…

cs.LG2020★ 2 cited

Simulating multi-exit evacuation using deep reinforcement learning

Dong Xu, Xiao Huang, Joseph Mango +2

Conventional simulations on multi-exit indoor evacuation focus primarily on how to determine a reasonable exit based on numerous factors in a changing environment. Results commonly…

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