distributed algorithms; game theory; learning (artificial intelligence); mathematics computing; multi-agent systems; optimisation; Nash equilibria; distributed algorithm; game settings; game theoretical learning algorithm; memoryless players; multiagent systems; optimal system states; optimization problems; potential function maximizers; potential games; synchronous learning; system properties; uncoupled agents; uncoupled dynamics; Algorithm design and analysis; Convergence; Games; Heuristic algorithms; Markov processes; Multi-agent systems; Nash equilibrium;
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