K. Ciosek and S. Whiteson, Off-Environment RL with Rare Events, NIPS workshop on Optimizing the Optimizers, 2016.

A. Diez-olivan, J. D. Ser, D. Galar, and B. Sierra, Data fusion and machine learning for industrial prognosis : Trends and perspectives towards industry 4.0. Information Fusion, vol.50, pp.92-111, 2019.

J. Donahue, L. A. Hendricks, M. Rohrbach, S. Venugopalan, S. Guadarrama et al., Long-term recurrent convolutional networks for visual recognition and description, 2014.

E. Marcele, V. Fontana, and . Santos-nepomuceno, Multi-criteria approach for products classification and their storage location assignment. The International, Journal of Advanced Manufacturing Technology, vol.88, issue.9, pp.3205-3216, 2017.

H. Edward and . Frazelle, Stock location assignment and order picking productivity, 1989.

M. Goetschalckx and H. Ratliff, Shared storage policies based on the duration stay of unit loads, Management Science, vol.36, issue.9, pp.1120-1132, 1990.

I. J. Goodfellow, Yoshua Bengio, and Aaron Courville. Deep Learning, 2016.

J. Gu, M. Goetschalckx, and L. F. Mc-ginnis, Research on warehouse operation : A comprehensive review, European Journal of Operational Research, vol.177, issue.1, pp.1-21, 2007.

W. Hausman, L. Schwarz, and S. Graves, Optimal Storage Assignment in Automatic Warehousing Systems, Management Science, vol.22, issue.6, 1976.

H. Kellerer, U. Pferschy, and D. Pisinger, Knapsack Problems, 2004.

M. Kofler, Optimising the Storage Location Assignment Problem Under Dynamic Conditions, 2014.

T. René-de-koster and K. Le-duc, Roodbergen. Design and control of warehouse order picking : A literature review, European Journal of Operational Research, vol.182, issue.2, pp.481-501, 2007.

J. Lago, E. Sogancioglu, G. Suryanarayana, F. De-ridder, and B. D. Schutter, Building day-ahead bidding functions for seasonal storage systems : A reinforcement learning approach, IFAC PapersOnLine, vol.52, pp.488-493, 2019.

J. Li, M. Moghaddam, and S. Y. Nof, Dynamic storage assignment with product affinity and abc classification-a case study, The International Journal of Advanced Manufacturing Technology, vol.84, issue.9, pp.2179-2194, 2016.

M. Li, E. Wolf, and D. Wintz, Duration-of-stay storage assignment under uncertainty, 2019.

L. Mai, N. Dao, and M. Park, Realtime task assignment approach leveraging reinforcement learning with evolution strategies for long-term latency minimization in fog computing, Sensors, vol.18, issue.9, 2018.

H. Mao, M. Alizadeh, I. Menache, and S. Kandula, Resource management with deep reinforcement learning, Proceedings of the 15th ACM Workshop on Hot Topics in Networks -HotNets '16, pp.50-56, 2016.

D. Chiang, C. Lin, and M. Chen, Data mining based storage assignment heuristics for travel distance reduction, Expert Systems, vol.31, issue.1, pp.81-90, 2014.

I. Nowoty?ska, An application of XYZ analysis in company stock management, Modern Management Review, 2013.

J. A. Palombarini and E. C. Martínez, Closed-loop rescheduling using deep reinforcement learning. IFAC-PapersOnLine, vol.52, pp.231-236, 2019.

J. Reyes, E. Solano-charris, and J. Montoya-torres, The storage location assignment problem : A literature review, International Journal of Industrial Engineering Computations, vol.10, pp.199-224, 2019.

B. Rouwenhorst, B. Reuter, V. Stockrahm, G. J. Van-houtum, R. J. Mantel et al., Warehouse design and control : Framework and literature review, European Journal of Operational Research, vol.122, issue.3, pp.515-533, 2000.

A. Scholz, S. Henn, M. Stuhlmann, and G. Wäscher, A new mathematical programming formulation for the single-picker routing problem, European Journal of Operational Research, vol.253, issue.1, pp.68-84, 2016.

M. Stojanovi? and D. Regodi?, The significance of the integrated multicriteria ABC-XYZ method for the inventory management process, Acta Polytechnica Hungarica, vol.14, issue.5, p.20, 2017.

R. S. Sutton and A. G. Barto, Reinforcement Learning : An Introduction, 1998.

. El-ghazali and . Talbi, Combining metaheuristics with mathematical programming, constraint programming and machine learning, vol.240, pp.171-215, 2016.

A. James, J. A. Tompkins, Y. A. White, J. M. Bozer, and . Tanchoco, Facilities planning, 2010.

W. Wang, J. Yang, L. Huang, D. Proverbs, and J. Wei, Intelligent storage location allocation with multiple objectives for flood control materials, vol.11, 2019.

R. Zhang, M. Wang, and X. Pan, New model of the storage location assignment problem considering demand correlation pattern, Computers and Industrial Engineering, vol.129, pp.210-219, 2019.

L. Zhou, L. Sun, Z. Li, W. Li, N. Cao et al., Study on a storage location strategy based on clustering and association algorithms, Soft Computing, 2018.

E. Zunic, H. Hasic, K. Hodzic, S. Delalic, and A. , Besirevic. Predictive analysis based approach for optimal warehouse product positioning, 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp.950-0954, 2018.