R. J. Vullers, R. V. Schaijk, H. J. Visser, J. Penders, and C. V. Hoof, Energy Harvesting for Autonomous Wireless Sensor Networks, IEEE Solid-State Circuits Magazine, vol.2, issue.2, pp.29-38, 2010.
DOI : 10.1109/MSSC.2010.936667

A. Kansal, J. Hsu, S. Zahedi, and M. B. Srivastava, Power management in energy harvesting sensor networks, ACM Transactions on Embedded Computing Systems, vol.6, issue.4, 2007.
DOI : 10.1145/1274858.1274870

A. Castagnetti, A. Pegatoquet, C. Belleudy, and M. Auguin, A framework for modeling and simulating energy harvesting WSN nodes with efficient power management policies, EURASIP Journal on Embedded Systems, vol.43, issue.8-9, 2012.
DOI : 10.1016/j.materresbull.2007.08.031

URL : https://hal.archives-ouvertes.fr/hal-00763913

T. N. Le, A. Pegatoquet, O. Berder, and O. Sentieys, Energy-Efficient Power Manager and MAC Protocol for Multi-Hop Wireless Sensor Networks Powered by Periodic Energy Harvesting Sources, IEEE Sensors Journal, vol.15, issue.12, pp.7208-7220, 2015.
DOI : 10.1109/JSEN.2015.2472566

URL : https://hal.archives-ouvertes.fr/hal-01197045

F. A. Aoudia, M. Gautier, and O. Berder, GRAPMAN: Gradual power manager for consistent throughput of energy harvesting wireless sensor nodes, 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2015.
DOI : 10.1109/PIMRC.2015.7343435

URL : https://hal.archives-ouvertes.fr/hal-01197335

R. Margolies, M. Gorlatova, J. Sarik, G. Stanje, J. Zhu et al., Energy-Harvesting Active Networked Tags (EnHANTs), ACM Transactions on Sensor Networks, vol.11, issue.4, pp.621-6227, 2015.
DOI : 10.1145/1555816.1555849

C. M. Vigorito, D. Ganesan, and A. G. Barto, Adaptive Control of Duty Cycling in Energy-Harvesting Wireless Sensor Networks, 2007 4th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, 2007.
DOI : 10.1109/SAHCN.2007.4292814

S. Peng and C. P. Low, Prediction free energy neutral power management for energy harvesting wireless sensor nodes, Ad Hoc Networks, 2014.
DOI : 10.1016/j.adhoc.2013.08.015

F. A. Aoudia, M. Gautier, and O. Berder, Fuzzy power management for energy harvesting Wireless Sensor Nodes, 2016 IEEE International Conference on Communications (ICC), 2016.
DOI : 10.1109/ICC.2016.7510767

URL : https://hal.archives-ouvertes.fr/hal-01302649

R. C. Hsu, C. T. Liu, and H. L. Wang, A Reinforcement Learning-Based ToD Provisioning Dynamic Power Management for Sustainable Operation of Energy Harvesting Wireless Sensor Node, IEEE Transactions on Emerging Topics in Computing, vol.2, issue.2, pp.181-191, 2014.
DOI : 10.1109/TETC.2014.2316518

C. Liu, X. Xu, and D. Hu, Multiobjective Reinforcement Learning: A Comprehensive Overview, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol.45, issue.3, pp.385-398, 2015.

C. R. Shelton, T. K. Leen, T. G. Dietterich, and V. Tresp, Balancing Multiple Sources of Reward in Reinforcement Learning, Advances in Neural Information Processing Systems 13, pp.1082-1088, 2001.
DOI : 10.21236/ADA454702

I. Grondman, L. Busoniu, G. A. Lopes, and R. Babuska, A Survey of Actor-Critic Reinforcement Learning: Standard and Natural Policy Gradients, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol.42, issue.6, pp.1291-1307, 2012.
DOI : 10.1109/TSMCC.2012.2218595

URL : https://hal.archives-ouvertes.fr/hal-00756747

R. S. Sutton, D. A. Mcallester, S. P. Singh, and Y. Mansour, Policy Gradient Methods for Reinforcement Learning with Function Approximation, Advances in Neural Information Processing Systems 12, pp.1057-1063, 2000.

R. S. Sutton, Learning to predict by the methods of temporal differences, Machine Learning, pp.9-44, 1988.
DOI : 10.3758/BF03205056

O. Berder and O. Sentieys, PowWow: Power Optimized Hardware/Software Framework for Wireless Motes, International Conference on Architecture of Computing Systems (ARCS), 2010.
URL : https://hal.archives-ouvertes.fr/inria-00554827

M. Gorlatova, A. Wallwater, and G. Zussman, Networking Low-Power Energy Harvesting Devices: Measurements and Algorithms, IEEE INFOCOM, 2011.
DOI : 10.1109/infcom.2011.5934952

URL : http://www.ee.columbia.edu/pdf-files/CUEE2010-12-15.pdf