Reinforcement Learning for Query Pricing in The Graph by Tomasz Kornuta | Devcon Bogotá

Visit the https://archive.devcon.org/ to gain access to the entire library of Devcon talks with the ease of filtering, playlists, personalized suggestions, decentralized access on Swarm, IPFS and more. https://archive.devcon.org/archive/watch/6/reinforcement-learning-for-query-pricing-in-the-graph/ Indexers​​ in The Graph protocol use a DSL called Agora​ to map query shapes to prices. However, manually populating and updating Agora models for each query is a tedious task, and, as a consequence, most indexers default to a flat pricing model. We have created and deployed reinforcement learning agents for Indexers to automatically compete on pricing. This talk will focus on our development process and our study of the market effects of multiple competing pricing agents. Speaker(s): Tomasz Kornuta Skill level: Intermediate Track: Cryptoeconomics Keywords: reinforcement learning,dynamic pricing,automation Follow us: https://twitter.com/efdevcon, https://twitter.com/ethereum Learn more about devcon: https://www.devcon.org/ Learn more about ethereum: https://ethereum.org/ Devcon is the Ethereum conference for developers, researchers, thinkers, and makers. Devcon 6 was held in Bogotá, Colombia on Oct 11 - 14, 2022. Devcon is organized and presented by the Ethereum Foundation, with the support of our sponsors. To find out more, please visit https://ethereum.foundation/