, in theory, lead to a Correlated Equilibrium that can improve the overall payoffs of the agents. Here we explore whether …

both firms employ the identical price-setting algorithm based on Q-learning. Thus, the question arises whether the … underlying assumption that both firms employ a Q-learning algorithm can be supported as an equilibrium in a game where firms can … chose between different pricing rules. Our simulations show that when both firms use a learning algorithm, the outcome is …

under learning as a SRA (stochastic recursive algorithm) and to analyze convergence by the method of stochastic …

pricing. We simulate a self-learning algorithm setting personalized prices based on additional information about consumer … show that the algorithm learns to charge different, revenue-maximizing prices and simultaneously increase fairness in terms …

the 2010 flash crash. The results show that our algorithm outperforms the risk-neutral reinforcement learning algorithm by …