Dispersion games: general definitions and some specific learning results

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The Representational Capacity of Action-Value Networks for Multi-Agent Reinforcement Learning (2019, background): “1 Dispersion Games In the Dispersion Game, also known as Anti-Coordination Game, the team of agents must divide as evenly as possible between the two local actions that each agent can perform [8].”
An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games (2005, methodology): “In this section we apply the Q-learning dynamics to stochastic DG [12].”
Decentralized Anti-coordination Through Multi-agent Learning (2013, background): “Another, more general variant of our problem, called dispersion game was described by Grenager, Powers, and Shoham (2002).”
Evolutionary game theory and multi-agent reinforcement learning (2005, background): “Games [ Gre02 ]. In this cooperative game, n agents must learn to choose from k tasks using local rewards and full utility is only achieved if each agent chooses a distinct task.”