An adaptive exploration mechanism for Q-learning in spatial public goods games

S Shen, X Zhang, A Xu, T Duan - Chaos, Solitons & Fractals, 2024 - Elsevier
The Q-learning algorithm has been widely applied to investigate the emergence of
cooperation in social dilemmas. Despite ϵ-greedy being the most common exploration …

Effects of value-driven social learning on cooperation in the prisoner's dilemma games

H Xu, H Wu, C Huang - Chaos: An Interdisciplinary Journal of …, 2024 - pubs.aip.org
Despite the growing attention and research on the impact of Q-learning-based strategy
updating on the evolution of cooperation, the joint role of individual learners and social …

The evolution of cooperation in spatial public goods game with tolerant punishment based on reputation threshold

G Zhang, Y Yao, Z Zeng, M Feng… - Chaos: An Interdisciplinary …, 2025 - pubs.aip.org
Reputation and punishment are significant guidelines for regulating individual behavior in
human society, and those with a good reputation are more likely to be imitated by others. In …

Constructive agents nullify the ability of destructive agents to foster cooperation in public goods games

Y Dong, Z He, C Shen, L Shi, J Tanimoto - Chaos: An Interdisciplinary …, 2024 - pubs.aip.org
Existing studies have revealed a paradoxical phenomenon in public goods games, wherein
destructive agents, harming both cooperators and defectors, can unexpectedly bolster …

Deep Reinforcement Learning-Based Controller for Field-Oriented Control of SynRM

E Kiliç - IEEE Access, 2024 - ieeexplore.ieee.org
Synchronous reluctance motors offer several advantages that make them suitable for use in
electric vehicle traction systems. Motor-drive systems constitute the most significant share of …