Apostolopoulos , P. A., Tsiropoulou , E. E. & Papavassiliou , S. 2018. Game-theoretic learning-based QoS satisfaction in autonomous mobile edge computing. In 2018 Global Information Infrastructure and Networking Symposium (GIIS), 1–5. https://doi.org/10.1109/GIIS.2018.8635770.

Bloembergen , D. et al. 2015. Evolutionary dynamics of multi-agent learning: A survey. Journal of Artificial Intelligence Research 53, 659–697.

Cao , H. & Cai , J. 2018. Distributed opportunistic spectrum access in an unknown and dynamic environment: A stochastic learning approach. IEEE Transactions on Vehicular Technology 67(5), 4454–4465.

De Jong , S., Uyttendaele , S. & Tuyls , K. 2008. Learning to reach agreement in a continuous ultimatum game. Journal of Artificial Intelligence Research 33, 551–574.

Do , C. T., et al. 2017. Game theory for cyber security and privacy. ACM Computing Surveys (CSUR) 50(2), 1–37.

Fielder , A. 2020. Modelling the impact of threat intelligence on advanced persistent threat using games. In From Lambda Calculus to Cybersecurity Through Program Analysis. Springer, 216–232.

Gheisari , S. & Tahavori , E. 2019. CCCLA: A cognitive approach for congestion control in Internet of Things using a game of learning automata. Computer Communications 147, 40–49.

Jia , L., et al. 2017. A distributed anti-jamming channel selection algorithm for interference mitigation-based wireless networks. In 2017 IEEE 17th International Conference on Communication Technology (ICCT), 151–155. https://doi.org/10.1109/ICCT.2017.8359621.

John Oommen , B. 1986. Absorbing and ergodic discretized two-action learning automata. IEEE Transactions on Systems, Man, and Cybernetics 16(2), 282–293.

Lakshmivarahan , S. and Narendra , K. S. 1982. Learning algorithms for two-person zerosum stochastic games with incomplete information: A unified approach. SIAM Journal on Control and Optimization 20(4), 541–552.

Narendra , K. S. & Thathachar , M. A. L. 2012. Learning Automata: An Introduction. Courier Corporation.

Narendra , K. S. & Thathachar , M. A. L. 1974. Learning automata – A survey. IEEE Transactions on Systems, Man, and Cybernetics SMC-4(4), 323–334. https://doi.org/10.1109/TSMC.1974.5408453.

Norman , M. F. 1972. Markov Processes and Learning Models. Vol. 84. Academic Press.

Papavassilopoulos , G. 1989. Learning algorithms for repeated bimatrix Nash games with incomplete information. Journal of Optimization Theory and Applications 62(3), 467–488.

Rauniyar , A., et al. 2020. A reinforcement learning based game theoretic approach for distributed power control in downlink NOMA. In 2020 IEEE 19th International Symposium on Network Computing and Applications (NCA), 1–10. https://doi.org/10.1109/NCA51143.2020. 9306737.

Saraydar , C. U., Mandayam , N. B. & Goodman , D. J. 2002. Efficient power control via pricing in wireless data networks. IEEE Transactions on Communications 50(2), 291–303.

Sastry , P. S., Phansalkar , V. V. & Thathachar , M. A. L. 1994. Decentralized learning of Nash equilibria in multi-person stochastic games with incomplete information. IEEE Transactions on Systems, Man, and Cybernetics 24(5), 769–777.

Schaerf , A., Shoham , Y. & Tennenholtz , M. 1994. Adaptive load balancing: A study in multi-agent learning. Journal of Artificial Intelligence Research 2, 475–500.

Sokri , A. 2020. Game theory and cyber defense. In Games in Management Science 280, 335–352.

Thapa , R., et al. 2017. A learning automaton-based scheme for scheduling domestic shiftable loads in smart grids. IEEE Access 6, 5348–5361.

Tian , D., et al. 2017. Self-organized relay selection for cooperative transmission in vehicular ad-hoc networks. IEEE Transactions on Vehicular Technology 66(10), 9534–9549.

Vadori , V., et al. 2015. Jamming in underwater sensor networks as a Bayesian zerosum game with position uncertainty. In 2015 IEEE Global Communications Conference (GLOBECOM). IEEE, 1–6.

Viswanathan , R. & Narendra , K. S. 1974. Games of stochastic automata. IEEE Transactions on Systems, Man, and Cybernetics SMC-4(1), 131–135. https://doi.org/10.1109/TSMC.1974.5408539.

Xing , Y. & Chandramouli , R. 2008. Stochastic learning solution for distributed discrete power control game in wireless data networks. IEEE/ACM Transactions on Networking 16(4), 932–944.

Yang , Z., et al. 2020. Learning automata based Q-learning for content placement in cooperative caching. IEEE Transactions on Communications 68(6), 3667–3680.

Yazidi , A., et al. 2022. Solving sensor identification problem without knowledge of the ground truth using replicator dynamics. IEEE Transactions on Cybernetics 52(1), 16–24. https://doi.org/10.1109/TCYB.2019.2958627.

Zhang , Z., Wang , D. & Gao , J. 2020. Learning automata-based multiagent reinforcement learning for optimization of cooperative tasks. IEEE Transactions on Neural Networks and Learning Systems 32(10), 4639–4652.