Kaivan Kamali
Pennsylvania State University
6 Papers
11 Citations
Kaivan Kamali is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Information needs & Adaptive control. The author has an hindex of 3, co-authored 5 publications. Previous affiliations of Kaivan Kamali include Penn State College of Information Sciences and Technology.
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Papers
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update
Enis Afgan,Anton Nekrutenko,Björn Grüning,Daniel Blankenberg,Jeremy Goecks,Michael C. Schatz,Alexander E. Ostrovsky,Alexandru Mahmoud,Andrew Lonie,Anna Syme,Anne Fouilloux,Anthony Bretaudeau,Anup Kumar,Arthur C. Eschenlauer,Assunta D. Desanto,Aysam Guerler,Beatriz Serrano-Solano,Bérénice Batut,Bradley W. Langhorst,Bridget Carr,Bryan Raubenolt,Cameron J. Hyde,Catherine J. Bromhead,Christopher B. Barnett,Coline Royaux,Cristóbal L. García Gallardo,Daniel Fornika,Dannon Baker,Dave Bouvier,Dave Clements,David A. de Lima Morais,David Lopez Tabernero,Delphine Larivière,E. Nasr,Federico Zambelli,Florian Heyl,Fotis Psomopoulos,Frederik Coppens,Gareth Price,Gianmauro Cuccuru,Gildas Le Corguillé,Gregory Von Kuster,Gulsum Gudukbay,Helena Rasche,Hans-Rudolf Hotz,Ignacio Eguinoa,Igor V. Makunin,Isuru Ranawaka,James Taylor,Jayadev Joshi,Jennifer Hillman-Jackson,John Chilton,Kaivan Kamali,Keith Suderman,Krzysztof Poterlowicz,Yvan Le Bras,Lucille Lopez-Delisle,Luke Sargent,Madeline E. Bassetti,M. A. Tangaro,Marius van den Beek,Martin Čech,Matthias Bernt,Matthias Fahrner,Mehmet Tekman,Melanie Föll,Michael R. Crusoe,Miguel Angel Roncoroni,N. K. Kucher,Nathaniel Coraor,Nicholas Stoler,Nick Rhodes,Nicola Soranzo,Niko Pinter,Nuwan Goonasekera,Pablo Moreno,Pavankumar Videm,Petera Melanie,Pietro Mandreoli,Pratik D. Jagtap,Qiang Gu,Ralf J. M. Weber,Ross Lazarus,Ruben H.P. Vorderman,Saskia Hiltemann,Sergey Golitsynskiy,Shilpa Garg,Simon Bray,Simon Gladman,Simone Leo,Subina Mehta,Timothy J. Griffin,Vahid Jalili,Yves Vandenbrouck,Vi-Kwei Wen,Vijaykrishna Nagampalli,W. Bacon,W. L. De Koning,Wolf-Martin Maier,P. J. Briggs +99 more
TL;DR: Key Galaxy technical developments include an improved user interface for launching large-scale analyses with many files, interactive tools for exploratory data analysis, and a complete suite of machine learning tools.
Using Q-Learning and Genetic Algorithms to Improve the Efficiency of Weight Adjustments for Optimal Control and Design Problems
TL;DR: A layered approach based on Q-learning, a reinforcement learning technique, on top of genetic algorithms (GA) to determine the best weighting matrices for optimal control and design problems is proposed.
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Geometric task decomposition in a multi-agent environment
TL;DR: A method for sub-task allocation that can be performed before the agents are deployed, reducing the need for communication among agents during their mission is proposed.
Formal semantics and communication strategies for proactive information delivery among team-based agents
John Yen,Xiaocong Fan,Shuang Sun,Rui Wang,Cong Chen,Kaivan Kamali,Michael J. Miller,Richard A. Volz +7 more
- 14 Jul 2003
TL;DR: Two types of information needs are identified, the intentional semantics of ProInform is given, and priliminary experiments are carried out to study how different strategies for choosing Pro inform impact team performance.
On modeling and simulating agent teamwork in cast
John Yen,Xiaocong Fan,Shuang Sun,Ray Wang,Cong Chen,Kaivan Kamali,Michael J. Miller,Richard A. Volz +7 more
- 01 Apr 2003
TL;DR: The semantics of proactive information delivery as an attempt is model (called ProAssert), which extends the performative Assert in Joint Intention Theory and a decision-theoretic approach for reasoning about whether to act on a potential proactive assert is introduced.