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AdaChain supports automatically adapting to an underlying, dynamically changing workload through the use of reinforcement learning. When a promising architecture is identified, AdaChain switches from the current architecture to the promising one at runtime in a secure and correct manner. Experimentally, we show that AdaChain can converge quickly to optimal architectures under changing workloads and significantly outperform fixed architectures in terms of the number of successfully committed transactions, all while incurring low additional overhead.\n          <\/jats:p>","DOI":"10.14778\/3594512.3594531","type":"journal-article","created":{"date-parts":[[2023,6,23]],"date-time":"2023-06-23T00:28:36Z","timestamp":1687480116000},"page":"2033-2046","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":19,"title":["AdaChain: A Learned Adaptive Blockchain"],"prefix":"10.14778","volume":"16","author":[{"given":"Chenyuan","family":"Wu","sequence":"first","affiliation":[{"name":"University of Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bhavana","family":"Mehta","sequence":"additional","affiliation":[{"name":"University of Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammad Javad","family":"Amiri","sequence":"additional","affiliation":[{"name":"University of Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ryan","family":"Marcus","sequence":"additional","affiliation":[{"name":"University of Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Boon Thau","family":"Loo","sequence":"additional","affiliation":[{"name":"University of Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,6,22]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"[n. d.]. https:\/\/github.com\/google\/leveldb  [n. d.]. https:\/\/github.com\/google\/leveldb"},{"key":"e_1_2_1_2_1","unstructured":"[n. d.]. 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