Balancing Familiarity and Curiosity in Data Exploration with Deep Reinforcement Learning
暂无分享,去创建一个
Sihem Amer-Yahia | Maximilian Fabricius | Laure Berti-Équille | Aurélien Personnaz | Srividya Subramanian | S. Amer-Yahia | Laure Berti-Équille | M. Fabricius | Aurélien Personnaz | S. Subramanian
[1] Andrew W. Moore,et al. Reinforcement Learning: A Survey , 1996, J. Artif. Intell. Res..
[2] Panos Vassiliadis,et al. Towards a Benefit-based Optimizer for Interactive Data Analysis , 2019, DOLAP.
[3] Olga Papaemmanouil,et al. AIDE: An Active Learning-Based Approach for Interactive Data Exploration , 2016, IEEE Transactions on Knowledge and Data Engineering.
[4] Pieter Abbeel,et al. Constrained Policy Optimization , 2017, ICML.
[5] John T. Stasko,et al. Interactive Browsing and Navigation in Relational Databases , 2016, Proc. VLDB Endow..
[6] Mohamed A. Sharaf,et al. REQUEST: A scalable framework for interactive construction of exploratory queries , 2016, 2016 IEEE International Conference on Big Data (Big Data).
[7] Gautam Das,et al. Facetedpedia: enabling query-dependent faceted search for wikipedia , 2010, CIKM '10.
[8] Alexandre Termier,et al. Interactive User Group Analysis , 2015, CIKM.
[9] Arnab Nandi,et al. Distributed and interactive cube exploration , 2014, 2014 IEEE 30th International Conference on Data Engineering.
[10] Anthony G. Cohn,et al. A Spatial Logic based on Regions and Connection , 1992, KR.
[11] Zi Huang,et al. Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation , 2019, ACM Multimedia.
[12] Laks V. S. Lakshmanan,et al. Exploring Rated Datasets with Rating Maps , 2017, WWW.
[13] Yi Zhang,et al. Interactive retrieval based on faceted feedback , 2010, SIGIR '10.
[14] Alex Graves,et al. Asynchronous Methods for Deep Reinforcement Learning , 2016, ICML.
[15] C. Lintott,et al. Galaxy Zoo 2: detailed morphological classifications for 304,122 galaxies from the Sloan Digital Sky Survey , 2013, 1308.3496.
[16] Vipin Kumar,et al. Summarization - compressing data into an informative representation , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).
[17] Nuttapong Chentanez,et al. Intrinsically Motivated Reinforcement Learning , 2004, NIPS.
[18] Neoklis Polyzotis,et al. QueRIE: Collaborative Database Exploration , 2014, IEEE Transactions on Knowledge and Data Engineering.
[19] Tova Milo,et al. Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning , 2020, SIGMOD Conference.
[20] Carsten Binnig,et al. IDEBench: A Benchmark for Interactive Data Exploration , 2018, SIGMOD Conference.
[21] Sihem Amer-Yahia,et al. Guided exploration of user groups , 2020, Proc. VLDB Endow..
[22] Alexei A. Efros,et al. Curiosity-Driven Exploration by Self-Supervised Prediction , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[23] Cong Yu,et al. Who Tags What? An Analysis Framework , 2012, Proc. VLDB Endow..
[24] Rina Dechter,et al. Value iteration and policy iteration algorithms for Markov decision problem , 1996 .
[25] Themis Palpanas,et al. New Trends on Exploratory Methods for Data Analytics , 2017, Proc. VLDB Endow..
[26] Peter Geibel,et al. Reinforcement Learning for MDPs with Constraints , 2006, ECML.
[27] Sanjiang Li,et al. Region Connection Calculus: Its models and composition table , 2003, Artif. Intell..
[28] Hiroki Arimura,et al. LCM ver. 2: Efficient Mining Algorithms for Frequent/Closed/Maximal Itemsets , 2004, FIMI.