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Avrachenkov, Konstantin (ed.); Borkar, Vivek S. (ed.); Nair, U. Jayakrishnan (ed.)

Special issue: multi-agent dynamic decision making and learning. (English) Zbl 07699148

Dyn. Games Appl. 13, No. 1, 1-2 (2023).

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00Bxx Conference proceedings and collections of articles
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[1] Anahtarci, B.; Kariksiz, CD; Saldi, N., Q-learning in regularized mean-field games, Dyn Games Appl (2022) · Zbl 1451.91014 · doi:10.1007/s13235-022-00450-2
[2] Brown, PN; Seaton, JH; Marden, JR, Robust networked multiagent optimization: designing agents to repair their own utility functions, Dyn Games Appl (2022) · Zbl 1519.91044 · doi:10.1007/s13235-022-00469-5
[3] Ferguson, BL; Marden, JR, Robust utility design in distributed resource allocation problems with defective agents, Dyn Games Appl (2022) · Zbl 1519.91113 · doi:10.1007/s13235-022-00470-y
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[6] Mao, W.; Başar, T., Provably efficient reinforcement learning in decentralized general-sum Markov games, Dyn Games Appl (2022) · Zbl 1519.91029 · doi:10.1007/s13235-021-00420-0
[7] Newton, CJ; Ganesh, A.; Reeve, HWJ, Asymptotic optimality for decentralised bandits, Dyn Games Appl (2022) · Zbl 1516.91031 · doi:10.1007/s13235-022-00451-1
[8] Phade SR Anantharam V (2021) Learning in games with cumulative prospect theoretic preferences. Dyn Games Appl. doi:10.1007/s13235-021-00398-9 · Zbl 1516.91017
[9] Ramirez, S.; van Brandenburg, LH; Bauso, D., Coordinated replenishment game and learning under time dependency and uncertainty of the parameters, Dyn Games Appl (2022) · Zbl 1525.91051 · doi:10.1007/s13235-022-00441-3
[10] Sorin, S., Continuous time learning algorithms in optimization and game theory, Dyn Games Appl (2022) · Zbl 1519.91027 · doi:10.1007/s13235-021-00423-x
[11] Subramanian J (2021) Robustness and sample complexity of model-based MARL for general-sum Markov games. doi:10.1007/s13235-023-00490-2 · Zbl 1519.91030
[12] Tang, D.; Tavafoghi, H.; Subramanian, V., Dynamic games among teams with delayed intra-team information sharing, Dyn Games Appl (2022) · Zbl 1519.91031 · doi:10.1007/s13235-022-00424-4
[13] Trivedi, P.; Hemachandra, N., Multi-agent natural actor-critic reinforcement learning algorithms, Dyn Games Appl (2022) · Zbl 1519.91063 · doi:10.1007/s13235-022-00449-9
[14] uz Zaman, MA; Miehling, E.; Başar, T., Reinforcement learning for non-stationary discrete-time linear-quadratic mean-field games in multiple populations, Dyn Games Appl (2022) · Zbl 1519.91036 · doi:10.1007/s13235-022-00448-w
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