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Optimizing Lithium Production Decisions under Geological, Demand, and Pricing Uncertainties: A POMDP Framework for Multi-Objective Decision Making
Anna C. Edmonds, Mansur M. Arief, Robert J. Moss +2
Decision making in lithium production is challenging, whether from an investor's perspective or a strategic production standpoint. Determining which mines to open and when to open…
Adaptive mine planning under geological uncertainty: A POMDP framework for sequential decision-making
Hamza Khalifi, Jef Caers, Yassine Taha +2
Strategic mine production scheduling under geological uncertainty is conventionally formulated as a stochastic optimization problem in which a fixed extraction sequence and routing…
The future of AI in critical mineral exploration
Jef Caers
The energy transition through increased electrification has put the worlds attention on critical mineral exploration Even with increased investments a decrease in new discoveries h…
Managing Geological Uncertainty in Critical Mineral Supply Chains: A POMDP Approach with Application to U.S. Lithium Resources
Mansur Arief, Yasmine Alonso, CJ Oshiro +5
The world is entering an unprecedented period of critical mineral demand, driven by the global transition to renewable energy technologies and electric vehicles. This transition pr…
Intelligent prospector v2.0: exploration drill planning under epistemic model uncertainty
John Mern, Anthony Corso, Damian Burch +2
Optimal Bayesian decision making on what geoscientific data to acquire requires stating a prior model of uncertainty. Data acquisition is then optimized by reducing uncertainty on…
BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations
Robert J. Moss, Anthony Corso, Jef Caers +1
Real-world planning problems, including autonomous driving and sustainable energy applications like carbon storage and resource exploration, have recently been modeled as partially…