Equilibrium Price

Equilibrium price research focuses on determining the prices at which supply and demand balance in various market scenarios. Current research explores efficient algorithms, such as tâtonnement and online learning methods, to compute equilibrium prices, particularly under incomplete information or dynamic market conditions, often employing models like Fisher markets and reinforcement learning architectures. This work is significant for improving resource allocation in both theoretical economic models and practical applications, such as automated market making in decentralized finance and online marketplaces, by optimizing efficiency and minimizing losses.