POMDP Framework for Adaptive Mine Planning Under Uncertainty
A recent study introduces a framework utilizing a Partially Observable Markov Decision Process (POMDP) for the strategic scheduling of mine production amid geological uncertainties, moving away from traditional stochastic optimization methods that handle uncertainty in a passive manner. This innovative approach facilitates sequential decisions regarding extraction and routing while considering future belief adjustments. The proposed hybrid SA-POMDP architecture merges simulated annealing for value approximation with ensemble-based belief updating through ensemble smoother with multiple data assimilation (ES-MDA). The full paper can be accessed on arXiv under the identifier 2605.13702.
Key facts
- Conventional mine scheduling is formulated as stochastic optimization with fixed extraction sequence and routing decisions computed ex ante.
- The proposed POMDP framework makes sequential decisions that integrate expectation of future belief updates.
- Hybrid SA-POMDP architecture uses simulated annealing for value approximation and ES-MDA for belief updating.
- The paper is published on arXiv with ID 2605.13702.
- The approach aims to achieve computational tractability for adaptive mine planning.
Entities
Institutions
- arXiv