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Publication search results
found 25 matches
- 2024
- Richard S. Sutton, Marlos C. Machado, G. Zacharias Holland, David Szepesvari, Finbarr Timbers, Brian Tanner, Adam White:
Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint). AAAI 2024: 22713 - 2023
- Richard S. Sutton, Marlos C. Machado, G. Zacharias Holland, David Szepesvari, Finbarr Timbers, Brian Tanner, Adam White:
Reward-respecting subtasks for model-based reinforcement learning. Artif. Intell. 324: 104001 (2023) - Ruslan Shaydulin, Changhao Li, Shouvanik Chakrabarti, Matthew DeCross, Dylan Herman, Niraj Kumar, Jeffrey Larson, Danylo Lykov, Pierre Minssen, Yue Sun, Yuri Alexeev, Joan M. Dreiling, John P. Gaebler, Thomas M. Gatterman, Justin A. Gerber, Kevin Gilmore, Dan Gresh, Nathan Hewitt, Chandler V. Horst, Shaohan Hu, Jacob Johansen, Mitchell Matheny, Tanner Mengle, Michael Mills, Steven A. Moses, Brian Neyenhuis, Peter Siegfried, Romina Yalovetzky, Marco Pistoia:
Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem. CoRR abs/2308.02342 (2023) - Marc Lanctot, Kate Larson, Yoram Bachrach, Luke Marris, Zun Li, Avishkar Bhoopchand, Thomas W. Anthony, Brian Tanner, Anna Koop:
Evaluating Agents using Social Choice Theory. CoRR abs/2312.03121 (2023) - 2022
- Emily R. Pfaff, Andrew T. Girvin, Davera Gabriel, Kristin Kostka, Michele Morris, Matvey B. Palchuk, Harold P. Lehmann, Benjamin R. C. Amor, Mark Bissell, Katie R. Bradwell, Sigfried Gold, Stephanie S. Hong, Johanna Loomba, Amin Manna, Julie A. McMurry, Emily Niehaus, Nabeel Qureshi, Anita Walden, Xiaohan Tanner Zhang, Richard L. Zhu, Richard A. Moffitt, Christopher G. Chute, William G. Adams, Shaymaa Al-Shukri, Alfred Anzalone, Ahmad Baghal, Tellen D. Bennett, Elmer V. Bernstam, Mark M. Bissell, Brian Bush, Thomas R. Campion Jr., Victor Castro, Jack Chang, Deepa D. Chaudhari, Wenjin Chen, San Chu, James J. Cimino, Keith A. Crandall, Mark Crooks, Sara J. Deakyne Davies, John Dipalazzo, David A. Dorr, Dan Eckrich, Sarah E. Eltinge, Daniel G. Fort, George Golovko, Snehil Gupta, Melissa A. Haendel, Janos G. Hajagos, David A. Hanauer, Brett M. Harnett, Ronald Horswell, Nancy Huang, Steven G. Johnson, Michael Kahn, Kamil Khanipov, Curtis Kieler, Katherine Ruiz De Luzuriaga, Sarah E. Maidlow, Ashley Martinez, Jomol Mathew, James C. McClay, Gabriel McMahan, Brian Melancon, Stéphane M. Meystre, Lucio Miele, Hiroki Morizono, Ray Pablo, Lav P. Patel, Jimmy Phuong, Daniel J. Popham, Claudia P. Pulgarin, Carlos Santos, Indra Neil Sarkar, Nancy Sazo, Soko Setoguchi, Selvin Soby, Sirisha Surampalli, Christine Suver, Uma Maheswara Reddy Vangala, Shyam Visweswaran, James von Oehsen, Kellie M. Walters, Laura K. Wiley, David A. Williams, Adrian H. Zai:
Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative. J. Am. Medical Informatics Assoc. 29(4): 609-618 (2022) - Richard S. Sutton, Marlos C. Machado, G. Zacharias Holland, David Szepesvari, Finbarr Timbers, Brian Tanner, Adam White:
Reward-Respecting Subtasks for Model-Based Reinforcement Learning. CoRR abs/2202.03466 (2022) - 2021
- Andrew J. Basinski, Elisabeth Fichet-Calvet, Anna R. Sjodin, Tanner J. Varrelman, Christopher H. Remien, Nathan C. Layman, Brian H. Bird, David J. Wolking, Corina Monagin, Bruno M. Ghersi, Peter A. Barry, Michael A. Jarvis, Paul E. Gessler, Scott L. Nuismer:
Bridging the gap: Using reservoir ecology and human serosurveys to estimate Lassa virus spillover in West Africa. PLoS Comput. Biol. 17(3) (2021) - Kristian Mrazek, Brian Holton, Tanner Klein, Izan Khan, Thomas Ayele, Tauheed Khan Mohd:
The Tap Strap 2: Evaluating Performance of One-Handed Wearable Keyboard and Mouse. HCI (41) 2021: 82-95 - 2019
- Floris P. Barthel, Kevin C. Johnson, Frederick S. Varn, Anzhela D. Moskalik, Georgette Tanner, Emre Kocakavuk, Kevin J. Anderson, Olajide Abiola, Kenneth D. Aldape, Kristin D. Alfaro, Donat Alpar, Samirkumar B. Amin, David M. Ashley, Pratiti Bandopadhayay, Jill S. Barnholtz-Sloan, Rameen Beroukhim, Christoph Bock, Priscilla K. Brastianos, Daniel J. Brat, Andrew R. Brodbelt, Alexander F. Bruns, Ketan R. Bulsara, Aruna Chakrabarty, Arnab Chakravarti, Jeffrey H. Chuang, Elizabeth B. Claus, Elizabeth J. Cochran, Jennifer Connelly, Joseph F. Costello, Gaetano Finocchiaro, Michael N. Fletcher, Pim J. French, Hui K. Gan, Mark R. Gilbert, Peter V. Gould, Matthew R. Grimmer, Antonio Iavarone, Azzam Ismail, Michael D. Jenkinson, Mustafa Khasraw, Hoon Kim, Mathilde C. M. Kouwenhoven, Peter S. LaViolette, Meihong Li, Peter Lichter, Keith L. Ligon, Allison K. Lowman, Tathiane M. Malta, Tali Mazor, Kerrie L. McDonald, Annette M. Molinaro, Do-Hyun Nam, Naema Nayyar, Ho Keung Ng, Chew Yee Ngan, Simone P. Niclou, Johanna M. Niers, Houtan Noushmehr, Javad Noorbakhsh, D. Ryan Ormond, Chul-Kee Park, Laila M. Poisson, Raul Rabadan, Bernhard Radlwimmer, Ganesh Rao, Guido Reifenberger, Jason K. Sa, Michael Schuster, Brian L. Shaw, Susan C. Short, Peter A. E. Sillevis Smitt, Andrew E. Sloan, Marion Smits, Hiromichi Suzuki, Ghazaleh Tabatabai, Erwin G. Van Meir, Colin Watts, Michael Weller, Pieter Wesseling, Bart A. Westerman, Georg Widhalm, Adelheid Woehrer, W. K. Alfred Yung, Gelareh Zadeh, Jason T. Huse, John F. De Groot, Lucy F. Stead, Roel G. W. Verhaak:
Longitudinal molecular trajectories of diffuse glioma in adults. Nat. 576(7785): 112-120 (2019) - 2017
- Andrew Brian Kinghorn, Julian Alexander Tanner:
Selective Phenome Growth Adapted NK Model: A Novel Landscape to Represent Aptamer Ligand Binding. Complex. 2017: 6760852:1-6760852:12 (2017) - 2015
- Richard S. Sutton, Brian Tanner:
Temporal-Difference Networks. CoRR abs/1504.05539 (2015) - 2013
- Brian L. Gilmore, Justin R. Tanner, Allison O. McKell, Crystal E. Boudreaux, Madeline J. Dukes, Sarah M. McDonald, Deborah F. Kelly:
Molecular Surveillance of Viral Processes Using Silicon Nitride Membranes. Micromachines 4(1): 90-102 (2013) - 2011
- Shimon Whiteson, Brian Tanner, Matthew E. Taylor, Peter Stone:
Protecting against evaluation overfitting in empirical reinforcement learning. ADPRL 2011: 120-127 - 2010
- Shimon Whiteson, Brian Tanner, Adam White:
Report on the 2008 Reinforcement Learning Competition. AI Mag. 31(2): 81-94 (2010) - Brian K. Tanner, Gary Warner, Henry Stern, Scott Olechowski:
Koobface: The evolution of the social botnet. eCrime 2010: 1-10 - 2009
- Brian Tanner, Adam White:
RL-Glue: Language-Independent Software for Reinforcement-Learning Experiments. J. Mach. Learn. Res. 10: 2133-2136 (2009) - Franklin Tanner, Brian Colder, Craig Pullen, David Heagy, M. Eppolito, Veronica Carlan, Carsten Oertel, Phil Sallee:
Overhead imagery research data set - an annotated data library & tools to aid in the development of computer vision algorithms. AIPR 2009: 1-8 - 2007
- Brian Tanner, Vadim Bulitko, Anna Koop, Cosmin Paduraru:
Grounding Abstractions in Predictive State Representations. IJCAI 2007: 1077-1082 - Brian Gestner, Jason Tanner, David V. Anderson:
Glass Break Detector Analog Front-End Using Novel Classifier Circuit. ISCAS 2007: 3586-3589 - 2005
- Brian Tanner, Richard S. Sutton:
TD(lambda) networks: temporal-difference networks with eligibility traces. ICML 2005: 888-895 - Eddie J. Rafols, Mark B. Ring, Richard S. Sutton, Brian Tanner:
Using Predictive Representations to Improve Generalization in Reinforcement Learning. IJCAI 2005: 835-840 - Brian Tanner, Richard S. Sutton:
Temporal-Difference Networks with History. IJCAI 2005: 865-870 - Robert C. Holte, Jeffery Grajkowski, Brian Tanner:
Hierarchical Heuristic Search Revisited. SARA 2005: 121-133 - 2004
- Richard S. Sutton, Brian Tanner:
Temporal-Difference Networks. NIPS 2004: 1377-1384 - 1997
- Kim Clohessy, Brian M. Barry, Peter Tanner:
New Complexities in the Embedded World - The OTI Approach. ECOOP Workshops 1997: 472-481
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