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R. Correll

3 papers hereh-index 7320 citations23 works total

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

author position
  • first author1
  • middle author1

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • astro-ph.EP1

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2024

Reinforcement Learning for Multi-Truck Vehicle Routing Problems

Joshua Levin, Randall Correll, Takanori Ide +3

Deep reinforcement learning (RL) has been shown to be effective in producing approximate solutions to some vehicle routing problems (VRPs), especially when using policies generated…

cs.LG2024

Deep Reinforcement Learning for Multi-Truck Vehicle Routing Problems with Multi-Leg Demand Routes

Joshua Levin, Randall Correll, Takanori Ide +3

Deep reinforcement learning (RL) has been shown to be effective in producing approximate solutions to some vehicle routing problems (VRPs), especially when using policies generated…

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