Deep Reinforcement Learning based real-time open-pit mining truck dispatching system

Author:

Noriega Roberto,Pourrahimian Yashar,Askari-Nasab Hooman

Publisher

Elsevier BV

Reference48 articles.

1. Overview of solution strategies used in truck dispatching systems for open pit mines;Alarie;Int. J. Surf. Min. Reclam. Environ.,2002

2. Online model-based reinforcement learning for decision-making in long distance routes;Alcaraz;Transport. Res. Part E: Logist. Transport. Rev.,2022

3. A review of the applications of multi-agent reinforcement learning in smart factories;Bahrpeyma;Front. Robot. AI,2022

4. Development of a scenario-based robust model for the optimal truck-shovel allocation in open-pit mining;Bakhtavar;Comput. Oper. Res.,2020

5. Bonates, E., & Lizotte, Y. (1988). A combined approach to solve truck dispatching problems. In C. Fystas & S. Singhal (Eds.), Computer Applications in the mineral industry (pp. 403–412).

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