{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T13:05:53Z","timestamp":1765544753896,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,8,12]],"date-time":"2020-08-12T00:00:00Z","timestamp":1597190400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,8,12]]},"DOI":"10.1145\/3410566.3410603","type":"proceedings-article","created":{"date-parts":[[2020,8,25]],"date-time":"2020-08-25T16:11:46Z","timestamp":1598371906000},"page":"1-8","source":"Crossref","is-referenced-by-count":27,"title":["DRLindex"],"prefix":"10.1145","author":[{"given":"Zahra","family":"Sadri","sequence":"first","affiliation":[{"name":"University of Oklahoma"}]},{"given":"Le","family":"Gruenwald","sequence":"additional","affiliation":[{"name":"University of Oklahoma"}]},{"given":"Eleazar","family":"Lead","sequence":"additional","affiliation":[{"name":"University of Minnesota Duluth"}]}],"member":"320","published-online":{"date-parts":[[2020,8,25]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Sanjay Agrawal Surajit Chaudhuri Lubor Koll\u00e1r Arunprasad P. Marathe Vivek R. Narasayya and Manoj Syamala. 2004. Database Tuning Advisor for Microsoft SQL Server 2005. In VLDB. 1110--1121.  Sanjay Agrawal Surajit Chaudhuri Lubor Koll\u00e1r Arunprasad P. Marathe Vivek R. Narasayya and Manoj Syamala. 2004. Database Tuning Advisor for Microsoft SQL Server 2005. In VLDB. 1110--1121.","DOI":"10.1016\/B978-012088469-8.50097-8"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Debabrota Basu Qian Lin Weidong Chen Hoang Tam Vo Zihong Yuan Pierre Senellart and St\u00e9phane Bressan. 2015. Cost-model oblivious database tuning with reinforcement learning. In Database and Expert Systems Applications. Springer. 253--268.  Debabrota Basu Qian Lin Weidong Chen Hoang Tam Vo Zihong Yuan Pierre Senellart and St\u00e9phane Bressan. 2015. Cost-model oblivious database tuning with reinforcement learning. In Database and Expert Systems Applications. Springer. 253--268.","DOI":"10.1007\/978-3-319-22849-5_18"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2007.367928"},{"key":"e_1_3_2_1_4_1","unstructured":"Surajit Chaudhuri and Vivek R. Narasayya. 1997. An efficient cost-driven index selection tool for Microsoft SQL server. In VLDB. 146--155.  Surajit Chaudhuri and Vivek R. Narasayya. 1997. An efficient cost-driven index selection tool for Microsoft SQL server. In VLDB. 146--155."},{"volume-title":"Proceedings of the 1998 ACM SIGMOD International Conference on Management of Data. 367--378","author":"Chaudhuri Surajit","key":"e_1_3_2_1_5_1"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2213836.2213843"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.14778\/1978665.1978668"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3299869.3324957"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.14778\/2850583.2850594"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Gabriel Paludo Licks Julia Colleoni Couto Priscilla de F\u00e1tima Miehe Renata De Paris Duncan Dubugras Ruiz and Felipe Meneguzzi. 2020. SMARTIX: A database indexing agent based on reinforcement learning. Applied Intelligence 1--14.  Gabriel Paludo Licks Julia Colleoni Couto Priscilla de F\u00e1tima Miehe Renata De Paris Duncan Dubugras Ruiz and Felipe Meneguzzi. 2020. SMARTIX: A database indexing agent based on reinforcement learning. Applied Intelligence 1--14.","DOI":"10.1007\/s10489-020-01674-8"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3196908"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3211954.3211957"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3196909"},{"key":"e_1_3_2_1_15_1","unstructured":"Ankur Sharma Felix Martin Schuhknecht and Jens Dittrich. 2018. The case for automatic database administration using deep reinforcement learning .arXiv preprint arXiv:1801.05643.  Ankur Sharma Felix Martin Schuhknecht and Jens Dittrich. 2018. The case for automatic database administration using deep reinforcement learning .arXiv preprint arXiv:1801.05643."},{"volume-title":"IEEE 23rd International Conference on Data Engineering Workshop. 459--468","author":"Schnaitter Karl","key":"e_1_3_2_1_16_1"},{"key":"e_1_3_2_1_17_1","unstructured":"Richard S. Sutton and Andrew G. Barto. 2018. Reinforcement learning: An introduction. MIT press.  Richard S. Sutton and Andrew G. Barto. 2018. Reinforcement learning: An introduction. MIT press."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2791347.2791376"},{"key":"e_1_3_2_1_19_1","unstructured":"Transaction Performance Council. TPC-H Benchmark.  Transaction Performance Council. TPC-H Benchmark."},{"key":"e_1_3_2_1_20_1","unstructured":"CloudLab. https:\/\/www.cloudlab.us\/.  CloudLab. https:\/\/www.cloudlab.us\/."},{"key":"e_1_3_2_1_21_1","unstructured":"POWA\n\n  \n  : PostgreSQL Workload Analyzer (2019). URL http:\/\/powa.readthedocs.io  POWA: PostgreSQL Workload Analyzer (2019). URL http:\/\/powa.readthedocs.io"}],"event":{"name":"IDEAS 2020: 24th International Database Engineering & Applications Symposium","acronym":"IDEAS 2020","location":"Seoul Republic of Korea"},"container-title":["Proceedings of the 24th Symposium on International Database Engineering &amp; Applications"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3410566.3410603","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3410566.3410603","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:32:00Z","timestamp":1750195920000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3410566.3410603"}},"subtitle":["deep reinforcement learning index advisor for a cluster database"],"short-title":[],"issued":{"date-parts":[[2020,8,12]]},"references-count":21,"alternative-id":["10.1145\/3410566.3410603","10.1145\/3410566"],"URL":"https:\/\/doi.org\/10.1145\/3410566.3410603","relation":{},"subject":[],"published":{"date-parts":[[2020,8,12]]}}}