, 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 …

Pareto optima. Using a decentralized multi-agent deep reinforcement learning algorithm to model how competing market makers …

theory, computational social choice, and fair division. It thus offers an interdisciplinary treatment of collective decision … making from an economic and computational perspective. Part I introduces to algorithmic game theory, focusing on both … noncooperative and cooperative game theory. Part II introduces to computational social choice, focusing on both preference …