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Catastrophe by Design in Population Games: A Mechanism to Destabilize Inefficient Locked-in Technologies., , , and . ACM Trans. Economics and Comput., (2023)Exploration-exploitation in multi-agent learning: Catastrophe theory meets game theory., and . Artif. Intell., (2022)Market Equilibria and Risk Diversification in Blockchain Mining Economies., , , and . MARBLE, page 23-46. Springer, (2022)Optimality Despite Chaos in Fee Markets., , , and . FC, volume 13951 of Lecture Notes in Computer Science, page 346-362. Springer, (2023)Upstream Demand Uncertainty in a Two-Echelon Supply Chain: Comparative Statics via Stochastic Orderings., , and . CoRR, (2018)Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games., , , and . CoRR, (2021)Who gets the Maximal Extractable Value? A Dynamic Sharing Blockchain Mechanism., , , , , and . AAMAS, page 2171-2173. ACM, (2024)Do Cryptocurrency Prices Camouflage Latent Economic Effects? A Bayesian Hidden Markov Approach., , and . Future Internet, 12 (3): 59 (2020)Optimality Despite Chaos in Fee Markets., , , and . CoRR, (2022)Endogenizing the Cost Parameter in Cournot Oligopoly., and . IGTR, 22 (2): 2040004:1-2040004:41 (2020)