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Open AccessIntrinsic fluctuations of reinforcement learning promote cooperation
In this work, we ask for and answer what makes classical temporal-difference reinforcement learning with \(\epsilon\) ...
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Open AccessDynamical systems as a level of cognitive analysis of multi-agent learning
A dynamical systems perspective on multi-agent learning, based on the link between evolutionary game theory and reinforcement learning, provides an improved, qualitative understanding of the emerging collectiv...
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The physics of governance networks: critical transitions in contagion dynamics on multilayer adaptive networks with application to the sustainable use of renewable resources
Adaptive networks are a versatile approach to model phenomena such as contagion and spreading dynamics, critical transitions and structure formation that emerge from the dynamic coevolution of complex network...
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Open AccessWhen optimization for governing human-environment tip** elements is neither sustainable nor safe
Optimizing economic welfare in environmental governance has been criticized for delivering short-term gains at the expense of long-term environmental degradation. Different from economic optimization, the conc...
