A reinforcement-learning-controlled adaptive search method finds cheaper pod storage plans than standard heuristics in simulated robotic warehouse tests.
Computers & Industrial Engineering156, 107221 (2021)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 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.