Many recent studies have used reinforcement learning methods to investigate the behavior
of agents in evolutionary games. Q-learning, in particular, has become a mainstream …

Imitation and replication have emerged as a paradigm in numerous studies that explore the
evolution of cooperative behavior. Since they embrace the essence of natural selection, it is …

In this work, we ask for and answer what makes classical temporal-difference reinforcement
learning with ϵ-greedy strategies cooperative. Cooperating in social dilemma situations is …

Dynamical interaction represents a fundamental coevolutionary rule that addresses the
intricacies of cooperation in social dilemmas. It provides a normative account for the …

In evolutionary game theory, the emergence and maintenance of cooperative behavior in a
population often face challenges posed by the temptation of free-riding behavior, which …

Propagation is crucial for acquiring information, and learning involves deep information
processing. Imitation dynamics, commonly used in spatial public goods games, represents …

Cooperative behavior in multi-agent systems has been a focal point of research, particularly
in the context of pairwise interaction games. While previous studies have successfully used …

There have been numerous studies on collective behavior, among which communication
between agents can have a great impact on both the payoff and the cost of making …

Patterns emerging through self-organization in nature have sparked considerable interest
across various disciplines, owing to their significance in comprehending collective …

In evolutionary game theory, the emergence and maintenance of group cooperative
behavior is usually challenged by the lure of high-payoff defection behavior. Recently …