A reinforcement-learning-controlled adaptive search method finds cheaper pod storage plans than standard heuristics in simulated robotic warehouse tests.
Transportation Research Part E: Logistics and Transportation Review 111, 1–16 (2018)
1 Pith paper cite this work, alongside 322 external citations. Polarity classification is still indexing.
1
Pith paper citing it
322
external citations · OpenAlex
citation-role summary
background 1
citation-polarity summary
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Solving the Pod Repositioning Problem with Deep Reinforced Adaptive Large Neighborhood Search
A reinforcement-learning-controlled adaptive search method finds cheaper pod storage plans than standard heuristics in simulated robotic warehouse tests.